Natural Language and Text Processing Laboratory
Center for Computing Research, National Polytechnic Institute, Mexico
Graduates and students advised by our professors are citizens of 18 countries
Scholarships we give • Awards our students have won • Our Google Scholar profile
* PostDoc positions available! *
The research group, founded in 1996, is headed by Alexander Gelbukh and includes faculty members Grigori Sidorov and Ildar Batyrshin, external collaborators Hiram Calvo, Olga Kolesnikova, Sofía Galicia Haro, Igor Bolshakov, Soujanya Poria, and about 50 PhD and MSc students from various countries. See a video presentation (mostly in Spanish).
Our students receive very attractive scholarships and win important awards.
The group conducts research in natural language processing (NLP) and related fields of artificial intelligence and soft computing. Our current work includes:
Natural language processing
Computational linguistics
Human language technologies
Machine translation
Text similarity measures
Applications of syntactic n-grams and other linguistically-motivated features
Word sense disambiguation
Text summarization
Learning and applications of collocations
Automatic analysis of machine-readable dictionaries
Morphological analysis and generation
Analysis of Wikipedia and other semi-structured lexical resources
Syntactic disambiguation, grammars, and parsing
Anaphora resolution
Social network analysis
Twitter analysis
Social and human-oriented computing
Sentiment analysis
Emotion detection
Personality recognition from text
Social network analysis
Analysis of texts in Twitter and Facebook
Authorship attribution based on linguistic information
Plagiarism detection
Applications in law and security and analysis of legal texts
Soft computing and applications
Artificial Intelligence
Machine Learning
Theory of association measures
Neural networks
Deep learning
Topological data analysis
Deep learning
Fuzzy logic
Recommendation systems
Pure mathematics
Topology
Manifold topology
Topology of the Reeb graph
e the annual series of international conferences CICLing, participate in the organization of the international conferences MICAI, COMIA, and a number of other conferences and journals (see e.g. here). We wrote a book on Computational Linguistics (in English) and another book on Natural Language Processing (in Spanish). Many of our publications (below) can be downloaded from this page and from the personal pages of the members of the group. Here is an older version of this page.
Note: There is one more JCR-indexed paper JCR under reviews. There are six more papers published in journals that were indexed before, but not in the year of publication.
1. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea. Recognizing Emotion Cause in Conversations. Cognitive Computation, ISSN 1866-9956. Accepted.
JCR impact factor 2020: 5.418 (Q1).
2. Segun Taofeek Aroyehun, Jason Angel, Navonil Majumder, Alexander Gelbukh, Amir Hussain. Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification. Neurocomputing, ISSN 0925-2312, 2021; doi: 10.1016/j.neucom.2021.07.057.
JCR impact factor 2020: 5.719 (Q1).
3. Snehlata Sheoran, Neetu Mittal, Alexander Gelbukh. Improved Change Detection in Remote Sensed Images by Artificial Intelligence Techniques. Journal of the Indian Society of Remote Sensing, ISSN 0255-660X, 2021; doi: 10.1007/s12524-021-01374-x.
JCR impact factor 2020: 1.563 (Q4).
4. Lal Khan, Ammar Amjad, Noman Ashraf, Hsien-Tsung Chang, Alexander Gelbukh. Urdu Sentiment Analysis with Deep Learning Methods. IEEE Access, ISSN 2169-3536, Vol. 9, 2021, pp. 97803–97812; doi: 10.1109/ACCESS.2021.3093078.
JCR impact factor 2020: 3.367 (Q2).
5. Abdullah Faiz Ur Rahman Khilji, Riyanka Manna, Sahinur Rahman Laskar, Partha Pakray, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. CookingQA: Answering Questions and Recommending Recipes Based on Ingredients. Arabian Journal for Science and Engineering, ISSN 0377-9211, 2021; doi: 10.1007/s13369-020-05236-5.
JCR impact factor 2019: 1.711 (Q3).
6. Amarnath Pathak, Riyanka Manna, Partha Pakray, Dipankar Das, Alexander Gelbukh, Sivaji Bandyopadhyay. Scientific Text Entailment and a Textual-Entailment-based framework for cooking domain question answering. Sādhanā, ISSN 0256-2499, vol. 46, 2021, article 24, pp. 1–19; doi: 10.1007/s12046-021-01557-9.
JCR impact factor 2019: 0.849 (Q4).
7. Sergio Jimenez, Youlin Avila, George Dueñas, Alexander Gelbukh. Automatic prediction of citability of scientific articles by stylometry of their titles and abstracts. Scientometrics, ISSN 0138-9130, vol. 125, no. 3, 2020, pp. 3187–3232; doi: 10.1007/s11192-020-03526-1.
JCR impact factor 2019: 2.867 (Q2).
8. Navonil Majumder, Rishabh Bharadwaj, Soujanya Poria, Amir Zadeh, Alexander Gelbukh, Amir Hussain, Louis-Philippe Morency. Improving Aspect-Level Sentiment Analysis with Aspect Extraction. Neural Computing and Applications, 2020; doi: 10.1007/s00521-020-05287-7.
JCR impact factor 2018: 4.664 (Q1).
9. Maaz Amjad, Grigori Sidorov, Alisa Zhila, Helena Gomez-Adorno, Ilia Voronkov, Alexander Gelbukh. “Bend The Truth”: Benchmark Dataset for Fake News Detection in Urdu Language and its Evaluation. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, 2020, vol. 39, no. 2, pp. 2457–2469; doi: 10.3233/JIFS-179905.
JCR impact factor 2018: 1.637 (Q3).
10. Olga Kolesnikova, Alexander Gelbukh. A study of lexical function detection with word2vec and supervised machine learning. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, 2020, vol. 39, no. 2, pp. 1993–2001; doi: 10.3233/JIFS-179866.
JCR impact factor 2018: 1.637 (Q3).
11. Sandeep Kumar Dash, Shantanu Acharya, Partha Pakray, Ranjita Das, Alexander Gelbukh. Topic-Based Image Caption Generation. Arabian Journal for Science and Engineering, 45, vol. 2020, pp. 3025–3034; doi: 10.1007/s13369-019-04262-2 (published in 2019).
JCR impact factor 2018: 1.518 (Q3).
12. Yash Mehta, Navonil Majumder, Alexander Gelbukh, Erik Cambria. Recent trends in deep learning based personality detection. Artificial Intelligence Review, ISSN 0269-2821, vol. 53, 2020, pp. 2313–2339; doi: 10.1007/s10462-019-09770-z (published in 2019).
JCR impact factor 2018: 5.095 (Q1).
13. Snehlata Sheoran, Neetu Mittal, Alexander Gelbukh. Analysis on application of swarm-based techniques in processing remote sensed data. Earth Science Informatics, vol. 13, 2020, pp. 97–113; doi: 10.1007/s12145-019-00417-9 (published in 2019).
JCR impact factor 2018: 1.525 (Q3).
14. Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander Gelbukh. Sentiment and Sarcasm Classification with Multitask Learning. IEEE Intelligent Systems, vol. 34, no. 3, 2019, pp. 38–43; doi: 10.1109/MIS.2019.2904691.
JCR impact factor 2018: 4.464 (Q1).
15. Helena Gómez-Adorno, Roddy Fuentes-Alba, Ilia Markov, Grigori Sidorov, Alexander Gelbukh. A convolutional neural network approach for gender and language variety identification. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 36, no. 5, 2019, pp. 4845–4855; doi: 10.3233/JIFS-179032.
JCR impact factor 2018: 1.637 (Q3).
16. Carolina Fócil-Arias, Grigori Sidorov, Alexander Gelbukh. Medical events extraction to analyze clinical records with conditional random fields. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 36, no. 5, 2019, pp. 4633–4643; doi: 10.3233/JIFS-179014.
JCR impact factor 2018: 1.637 (Q3).
17. Sandeep Kumar Dash, Saurav Saha, Partha Pakray, Alexander Gelbukh. Generating image captions through multimodal embedding. Journal of Intelligent & Fuzzy Systems, ISSN: 1064-1246, vol. 36, no. 5, 2019, pp. 4787–4796; doi: 10.3233/JIFS-179027.
JCR impact factor 2018: 1.637 (Q3).
18. Rohini Basak, Sudip Kumar Naskar, Alexander Gelbukh. Short-answer grading using textual entailment. Journal of Intelligent & Fuzzy Systems, ISSN: 1064-1246, vol. 36, no. 5, 2019, pp. 4909–4919; doi: 10.3233/JIFS-179038.
JCR impact factor 2018: 1.637 (Q3).
19. Amarnath Pathak, Partha Pakray, Alexander Gelbukh. Binary vector transformation of math formula for mathematical information retrieval. Journal of Intelligent & Fuzzy Systems, ISSN: 1064-1246, vol. 36, no. 5, 2019, pp. 4685–4695; doi: 10.3233/JIFS-179018.
JCR impact factor 2018: 1.637 (Q3).
20. Sergio Jimenez, Fabio A. Gonzalez, Alexander Gelbukh, George Dueñas. word2set: WordNet-Based Word Representation Rivaling Neural Word Embedding for Lexical Similarity and Sentiment Analysis. IEEE Computational Intelligence Magazine, ISSN: 1556-603X, vol. 14, issue 2, 2019, pp. 41–53, doi: 10.1109/MCI.2019.2901085.
JCR impact factor 2018: 5.857 (Q1).
21. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander Gelbukh, Amir Hussain. Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines. IEEE Intelligent Systems, ISSN: 1541-1672, vol. 33, issue 6, November–December 2018, pp. 17–25, doi: 10.1109/MIS.2018.2882362.
JCR impact factor 2018: 4.464 (Q1).
22. Navonil Majumder, Devamanyu Hazarika, Alexander Gelbukh, Erik Cambria, Soujanya Poria. Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling. Knowledge-Based Systems, ISSN: 0950-7051, vol. 161, 2018, pp. 124–133; doi: 10.1016/j.knosys.2018.07.041.
JCR impact factor 2018: 5.101 (Q1).
23. Hiram Calvo, Pabel Carrillo-Mendoza and Alexander Gelbukh. On redundancy in multi-document summarization. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 34, no. 5, pp. 3245-3255, 2018, doi: 10.3233/JIFS-169507.
JCR impact factor 2018: 1.637 (Q3).
24. Sergio Jimenez, Silviu-Petru Cucerzan, Fabio A. Gonzalez, Alexander Gelbukh, George Dueñas. BM25-CTF: Improving TF and IDF factors in BM25 by using collection term frequencies. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 34, no. 5, pp. 2887-2899, 2018, doi: 10.3233/JIFS-169475.
JCR impact factor 2018: 1.637 (Q3).
25. Carolina Fócil-Arias, Grigori Sidorov, Alexander Gelbukh, Fernando Arce. Extracting medical events from clinical records using conditional random fields and parameter tuning for hidden Markov models. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 34, no. 5, pp. 2935-2947, 2018, doi: 10.3233/JIFS-169479.
JCR impact factor 2018: 1.637 (Q3).
26. Francisco Javier Garcia-Lopez, Ildar Batyrshin, Alexander Gelbukh. Analysis of relationships between tweets and stock market trends. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 34, no. 5, pp. 3337-3347, 2018, doi: 10.3233/JIFS-169515.
JCR impact factor 2018: 1.637 (Q3).
27. Rohini Basak, Sudip Kumar Naskar, Alexander Gelbukh. A simple hybrid approach to recognizing textual entailment. Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, vol. 34, no. 5, pp. 2873-2885, 2018, doi: 10.3233/JIFS-169474.
JCR impact factor 2018: 1.637 (Q3).
28. Miguel A. Sanchez-Perez, Alexander Gelbukh, Grigori Sidorov, Helena Gómez-Adorno. Plagiarism Detection with Genetic-Based Parameter Tuning. International Journal of Pattern Recognition and Artificial Intelligence, ISSN 0218-0014, Vol. 32, No. 1, 2018, p. 1860006-1–1860006-23, doi: 10.1142/S0218001418600066.
JCR impact factor 2017: 1.029 (Q3) (WoS document type: article; proceedings paper).
29. Erik Cambria, Soujanya Poria, Alexander Gelbukh, Mike Thelwall. Sentiment Analysis Is a Big Suitcase. IEEE Intelligent Systems, ISSN 1541-1672, Vol. 32, No. 6, 2017, pp. 74–80, doi: 10.1109/MIS.2017.4531228.
JCR impact factor 2015: 3.532 (Q1), 2016: 2.374 (Q2).
30. Ildar Batyrshin, Fernando Monroy-Tenorio, Alexander Gelbukh, Luis Alfonso Villa-Vargas, Valery Solovyev, Nailya Kubysheva. Bipolar Rating Scales: A Survey and Novel Correlation Measures Based on Nonlinear Bipolar Scoring Functions. Acta Polytechnica Hungarica, ISSN 1785-8860, Vol. 14, No. 3, 2017, pp. 33–57, doi: 10.12700/APH.14.3.2017.3.3.
JCR impact factor 2017: 0.909 (Q3).
31. Obdulia Pichardo-Lagunas, Grigori Sidorov, Alexander Gelbukh, Nareli Cruz-Cortés, Alicia Martínez-Rebollar. Automatic Detection of Semantic Primitives with Bio-inspired, Multi-Objective, Weighting Algorithms. Acta Polytechnica Hungarica, ISSN 1785-8860, Vol. 14, No. 3, 2017, pp. 113–128, doi: 10.12700/APH.14.3.2017.3.7.
JCR impact factor 2017: 0.909 (Q3).
32. Navonil Majumder, Soujanya Poria, Alexander Gelbukh, Erik Cambria. Deep Learning-Based Document Modeling for Personality Detection from Text. IEEE Intelligent Systems, vol. 32, issue 2, 2017, ISSN 1541-1672, pp. 74–79, doi: 10.1109/MIS.2017.23.
JCR impact factor 2015: 3.532 (Q1), 2016: 2.374 (Q2).
Highly cited paper, according to ISI JCR Web of Science: within 1% of top-cited papers in computer science published in this year.
33. Ángel Hernández-Castañeda, Hiram Calvo, Alexander Gelbukh, Jorge J. García Flores. Cross-domain deception detection using support vector networks. Soft Computing, ISSN: 1432-7643, Vol. 21, No. 3, 2017, pp. 585–595, doi: 10.1007/s00500-016-2409-2.
JCR impact factor 2016: 2.472 (Q2).
34. Helena Gómez-Adorno, Grigori Sidorov, David Pinto, Darnes Vilariño Ayala, Alexander Gelbukh. Automatic Authorship Detection using Textual Patterns Extracted from Integrated Syntactic Graphs. Special issue: Advances in Artificial Intelligence: Selected Papers from MICAI 2013, 2014 and 2015—12th, 13th and 14th Mexican International Conferences on Artificial Intelligence. Sensors, eISSN: 1424-8220, Vol. 16, No. 9, 2016, p. 1374 (19 pp.), doi: 10.3390/s16091374.
JCR impact factor 2016: 2.677 (Q1).
35. Sergio Jiménez, Fabio A. González, Alexander Gelbukh. Mathematical properties of soft cardinality: Enhancing Jaccard, Dice and cosine similarity measures with element-wise distance. Information Sciences, ISSN: 0020-0255, Vol. 367, 2016, pp. 373–389, doi: 10.1016/j.ins.2016.06.012.
JCR impact factor 2016: 4.832 (Q1).
36. Soujanya Poria, Erik Cambria, Alexander Gelbukh. Aspect extraction for opinion mining with a deep convolutional neural network. Knowledge-Based Systems, ISSN: 0950-7051, Vol. 108, 2016, pp. 42–49, doi: 10.1016/j.knosys.2016.06.009.
JCR impact factor 2016: 4.529 (Q1).
Highly cited paper, according to ISI JCR Web of Science: within 1% of top-cited papers in computer science published in this year.
37. Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander Gelbukh, Qiang Zhou. Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cognitive Computation, ISSN: 1866-9956, Vol. 8, Issue 4, 2016, pp. 757–771, doi: 10.1007/s12559-016-9415-7.
JCR impact factor 2016: 3.441 (Q1).
▪ Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander Gelbukh, Qiang Zhou. Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cognitive Computation, ISSN: 1866-9956, Vol. 8, Issue 4, 2016, pp. 772–775, doi: 10.1007/s12559-016-9421-9.
38. Alisa Zhila, Alexander Gelbukh. Open Information Extraction from Real Internet Texts in Spanish Using Constraints over Part-Of-Speech Sequences: Problems of the Method, Their Causes, and Ways for Improvement. “Revista Signos. Estudios de Lingüística”, ISSN 0718-0934, Vol. 49, No. 90, March, 2016, pp. 119–142, doi: 10.4067/S0718-09342016000100006.
SSCI: JCR impact factor 2016: 0.231 (Q4).
39. Soujanya Poria, Erik Cambria, Alexander Gelbukh, Federica Bisio, Amir Hussain. Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns. IEEE Computational Intelligence Magazine, ISSN 1556-603X, Vol. 10, No. 4, 2015, pp. 26–36, doi: 10.1109/MCI.2015.2471215.
SSCI: JCR impact factor 2016: 6.343 (Q1).
40. Basant Agarwal, Soujanya Poria, Namita Mittal, Alexander Gelbukh, Amir Hussain. Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach. Cognitive Computation, ISSN 1866-9956, Vol. 7, No. 4, 2015, 487–499, doi: 10.1007/s12559-014-9316-6.
JCR impact factor 2015: 1.933 (Q2), 2016: 3.441 (Q1).
41. Soujanya Poria, Alexander Gelbukh, Erik Cambria, Amir Hussain, Guang-Bin Huang. EmoSenticSpace: A Novel Framework for Affective Common-Sense Reasoning. Knowledge-Based Systems, vol. 69, 2014, ISSN 0950-7051, pp. 108–123, doi: 10.1016/j.knosys.2014.06.011.
SCI: JCR impact factor 2014: 3.424 (Q1).
42. Sabino Miranda, Alexander Gelbukh, Grigori Sidorov. Generating summaries by means of synthesis of conceptual graphs (In Spanish: Generación de resúmenes por medio de síntesis de grafos conceptuales). “Revista Signos. Estudios de Lingüística”, ISSN 0718-0934, Vol. 47, No. 86, December, 2014, pp. 463–485, doi: 10.4067/S0718-09342014000300006.
SSCI: JCR impact factor 2014: 0.273 (Q4).
43. Obdulia Pichardo Lagunas, Grigori Sidorov, Nareli Cruz Cortés, Alexander Gelbukh. Automatic Detection of Semantics Primitives in Explicative Dictionaries with Bio-inspired Algorithms (In Spanish: Detección automática de primitivas semánticas en diccionarios explicativos con algoritmos bioinspirados). Onomázein, ISSN 0717-1285, vol. 29, 2014, pp. 104–117, doi: 10.7764/onomazein.29.1.
SSCI: JCR impact factor 2014: 0.123 (Q4).
44. Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh, Liliana Chanona-Hernández. Syntactic N-grams as machine learning features for natural language processing. Expert Systems with Applications, ISSN 0957-4174, vol. 41, issue 3, 2014, pp. 853–860, doi: 10.1016/j.eswa.2013.08.015.
SCIE: JCR impact factor 2014: 2.240 (Q1).
45. Soujanya Poria, Alexander Gelbukh, Amir Hussain, Newton Howard, Dipankar Das, Sivaji Bandyopadhyay. Enhanced SenticNet with Affective Labels for Concept-based Opinion Mining. IEEE Intelligent Systems, ISSN 1541-1672, vol. 28, issue 2, 2013, pp. 31–38, doi:10.1109/MIS.2013.4.
SCI: JCR impact factor 2013: 1.920 (Q2), 2012: 1.930 (Q1).
46. Sergio Jimenez Vargas, Alexander Gelbukh. Baselines for Natural Language Processing Tasks Based on Soft Cardinality Spectra. Applied and Computational Mathematics, ISSN 1683-3511, Special Issue on Applied Artificial Intelligence and Soft Computing, Vol. 11, No. 2, 2012, pp. 180–199.
SCIE: JCR impact factor 2012: 0.750 (Q2).
47. Olga Kolesnikova, Alexander Gelbukh. Semantic relations between collocations: A Spanish case study (Relaciones semánticas entre las colocaciones: Un estudio de caso del español). “Revista Signos. Estudios de Lingüística”, ISSN 0718-0934, ISSN 0035-0451, Vol. 45, No. 78, pp. 44–59, March, 2012; doi: 10.4067/S0718-09342012000100003.
SSCI: JCR impact factor 2012: 0.055 (Q4).
48. Javier Tejada-Cárcamo, Hiram Calvo, Alexander Gelbukh, Kazuo Hara. Unsupervised WSD by Finding the Predominant Sense Using Context as a Dynamic Thesaurus. Journal of Computer Science and Technology, ISSN 1000-9000, Vol. 25, No. 5, Springer, September 2010, p. 1030–1039; doi: 10.1007/s11390-010-9385-2.
SCIE: JCR impact factor 2010: 0. 656 (Q3).
49. George Adelson-Velsky, Alexander Gelbukh, Eugene Levner. On Fast Path-Finding Algorithms in AND-OR Graphs. Mathematical Problems in Engineering, ISSN 1024-123X, Hindawi Publishing Corporation, Vol. 8, Num. 4–5, 2002, pp. 283–293, doi: 10.1080/10241230306728.
SCIE: JCR impact factor 2002: 0.238 (Q3).
50. A.F. Gelbukh. Исправление орфографических ошибок с помощью перебора, управляемого морфологическим словарем (Spelling Correction with Morphological Dictionary, in Russian). Nauchno-Tekhnicheskaya Informatsiya, Seriya 2 - Informatsionnye Protsessy i Sistemy, ISSN 0548-0027, ser. 2, vol. 5, pp. 23–30, Moscow, Russia, 1993.
JCR impact factor 1992: 0.051, 1994: 0.169, 1997: 0.25 (not shown by Clarivate; dropped in Feb 1996).
51. A.F. Gelbukh. Эффективно реализуемая модель морфологии флективного естественного языка (Efficiently-Realized Model of the Natural-Language Morphology, in Russian). Nauchno-Tekhnicheskaya Informatsiya, Seriya 2 - Informatsionnye Protsessy i Sistemy, ISSN 0548-0027, ser. 2, vol. 1, Moscow, Russia, 1992, pp. 24–31.
JCR impact factor 1992: 0.051 (not shown by Clarivate).
52. A.F. Gelbukh. Минимизация количества обращений к дисковой памяти при словарном морфологическом анализе (Minimizing the Use of Disk Memory during Vocabulary Morphological Analysis, in Russian). Nauchno-Tekhnicheskaya Informatsiya, Seriya 2 - Informatsionnye Protsessy i Sistemy, ISSN 0548-0027, ser. 2, vol. 6, Moscow, Russia, 1991, pp. 15–21.
JCR impact factor 1991: 0.233 (not shown by Clarivate).
53. Jesus Alexander Alvarado Gutiérrez, Alexander Gelbukh, Olga Kolesnikova. Resolución de anáfora directa basada en conocimiento para pronombres definitivos (Knowledge-Based Direct Anaphora Resolution for Definitive Pronouns). Computación y Sistemas, ISSN 1405-5546, vol. 25, no. 2, 2021, pp. 329–337; doi: 10.13053/CyS-25-2-3935.
54. Sabur Butt, Noman Ashraf, Muhammad Hammad Fahim Siddiqui, Grigori Sidorov, Alexander Gelbukh. Transformer-Based Extractive Social Media Question Answering on TweetQA. Computación y Sistemas, ISSN 1405-5546, vol. 25, no. 1, 2021, pp. 23–32; doi: 10.13053/CyS-25-1-3897.
55. Riyanka Manna, Partha Pakray, Dipankar Das, Alexander Gelbukh. Question-Answering and Recommendation System on Cooking Recipes. Computación y Sistemas, ISSN 1405-5546, vol. 25, no. 1, 2021, pp. 223–235; doi: 10.13053/CyS-25-1-3899.
56. Sabur Butt, Noman Ashraf, Muhammad Hammad Fahim Siddiqui, Grigori Sidorov, Alexander Gelbukh. Transformer-Based Extractive Social Media Question Answering on TweetQA. Computación y Sistemas, ISSN 1405-5546, vol. 25, no. 1, 2021, pp. 23–32; doi: 10.13053/CyS-25-1-3897.
57. Mubarak Alkhatnai, Hamza Imam Amjad, Maaz Amjad, Alexander Gelbukh. Methods and Trends of Machine Reading Comprehension in the Arabic Language. Computación y Sistemas, ISSN 1405-5546, vol. 24, no. 4, 2020, pp. 1607–1615; doi: 10.13053/CyS-24-4-3878.
58. Iskander Akhmetov, Alexandr Pak, Irina Ualiyeva, Alexander Gelbukh. Highly Language-Independent Word Lemmatization Using a Machine-Learning Classifier. Computación y Sistemas, ISSN 1405-5546, vol. 24, no. 3, 2020, pp. 1353–1364; doi: 10.13053/CyS-24-3-3775.
59. Sandeep Kumar Dash, Y. V. Sureshchandra, Yatharth Mishra, Partha Pakray, Ranjita Das, Alexander Gelbukh. Multimodal Learning Based Spatial Relation Identification. Computación y Sistemas, ISSN 1405-5546, vol. 24, no. 3, 2020, pp. 1327–1335; doi: 10.13053/CyS-24-3-3773.
60. Abdullah Faiz Ur Rahman Khilji, Riyanka Manna, Sahinur Rahman Laskar, Partha Pakray, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. Question Classification and Answer Extraction for Developing a Cooking QA System. Computación y Sistemas, Vol. 24, No. 2, 2020, pp. 921–927, doi: 10.13053/CyS-24-2-3445.
61. Olga Kolesnikova, Alexander Gelbukh, Liliana Chanona-Hernández. Automatic Detection of Semantic Classes of Verb-Noun Collocations. Computación y Sistemas, ISSN 1405-5546, Vol. 24, No. 1, 2020, pp. 141–150, doi: 10.13053/CyS-24-1-3130.
62. Olga Kolesnikova, Alexander Gelbukh. Dictionary and Corpus-Based Study of Lexical Functions in Spanish. POLIBITS, ISSN 2395-8618, vol. 60, 2019, pp. 43–56; doi: 10.17562/PB-60-6.
63. Amarnath Pathak, Ranjita Das, Partha Pakray, Alexander Gelbukh. Extracting Context of Math Formulae Contained inside Scientific Documents. Computación y Sistemas, ISSN 1405-5546, Vol. 23, No. 3, 2019, pp. 803–818, doi: 10.13053/CyS-23-3-3246.
64. Carlos A. Rodriguez-Diaz, Sergio Jimenez, George Dueñas, Johnatan Estiven Bonilla, Alexander Gelbukh. Dialectones: Finding Statistically Significant Dialectal Boundaries Using Twitter Data. Computación y Sistemas, ISSN 1405-5546, Vol. 22, No. 4, 2018, pp. 1213–1222, doi: 10.13053/CyS-22-4-3104.
65. Amarnath Pathak, Partha Pakray, Alexander Gelbukh. A Formula Embedding Approach to Math Information Retrieval. Computación y Sistemas, ISSN 1405-5546, Vol. 22, No. 3, 2018, pp. 819–833; doi: 10.13053/CyS-22-3-3015.
66. Francisco Viveros-Jiménez, Miguel A. Sanchez-Perez, Helena Gómez-Adorno, Juan-Pablo Posadas-Durán, Grigori Sidorov, Alexander Gelbukh. Improving the Boilerpipe Algorithm for Boilerplate Removal in News Articles Using HTML Tree Structure. Computación y Sistemas, ISSN 1405-5546, Vol. 22, No. 2, 2018, pp. 483–489; doi: 10.13053/CyS-22-2-2959.
67. Alexander Gelbukh. Inferences for Enrichment of Collocation Databases by Means of Semantic Relations. Computación y Sistemas, ISSN 1405-5546, Vol. 22, No. 1, 2018, pp. 103–117; doi: 10.13053/CyS-22-1-2923.
68. Amarnath Pathak, Partha Pakray, Sandip Sarkar, Dipankar Das, Alexander Gelbukh. MathIRs: Retrieval System for Scientific Documents. Computación y Sistemas, ISSN 1405-5546, Vol. 21, No. 2, 2017, pp. 253–265; doi: 10.13053/CyS-21-2-2743.
69. Claudia Becerra, Fabio A. Auguto Gonzalez Osorio, Alexander Gelbukh. LinearTag Models: Recommendations Using Linear User Profiles Based on Tags. Computación y Sistemas, ISSN 1405-5546, Vol. 21, No. 1, 2017, pp. 115–127; doi: 10.13053/CyS-21-1-2579.
70. Goutam Majumder, Partha Pakray, Alexander Gelbukh, David Pinto. Semantic Textual Similarity Methods, Tools, and Applications: A Survey. Computación y Sistemas, ISSN 1405-5546, Vol. 20, No. 4, 2016, pp. 647–665; doi: 10.13053/CyS-20-4-2506.
71. Sandeep Kumar Dash, Partha Pakray, Alexander Gelbukh. Learning Physiotherapy through Virtual Action. Computación y Sistemas, ISSN 1405-5546, Vol. 20, No. 3, 2016, pp. 477–482; doi: 10.13053/CyS-20-3-2450.
72. Rohini Basak, Sudip Kumar Naskar, Partha Pakray, Alexander Gelbukh. Recognizing Textual Entailment by Soft Dependency Tree Matching. Computación y Sistemas, ISSN 1405-5546, Vol. 19, No. 4, 2015, pp. 685–700; doi: 10.13053/CyS-19-4-2331.
73. Claudia Pérez Martínez, Gabriel López Morteo, Magally Martínez Reyes, Alexander Gelbukh. Wikipedia-based Learning Path Generation. Computación y Sistemas, ISSN 1405-5546, Vol. 19, No. 3, 2015, pp. 589–600; doi: 10.13053/CyS-19-3-2079.
74. Sergio Jimenez, Fabio A. Gonzalez, Alexander Gelbukh. Soft Cardinality in Semantic Text Processing: Experience of the SemEval International Competitions. Polibits, ISSN 1870-9044, Issue 51, 2015, pp. 63–72; doi: 10.17562/PB-51-9.
75. Reyna Melara Abarca, Claudia Perez-Martinez, Alexander Gelbukh, Gabriel López Morteo, Magally Martinez Reyes, Moisés Pérez López. Wikification of Learning Objects using Metadata as an Alternative Context for Disambiguation. Computación y Sistemas, ISSN 1405-5546, Vol. 18, No. 4, 2014, pp. 755–765; doi: 10.13053/CyS-18-4-2029.
76. Grigori Sidorov, Alexander Gelbukh, Helena Gómez-Adorno, David Pinto. Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model. Computación y Sistemas, ISSN 1405-5546, Vol. 18, No. 3, 2014, pp. 491–504; doi: 10.13053/CyS-18-3-2043.
77. Jordi Centelles, Marta R. Costa-jussà, Rafael E. Banchs, Alexander Gelbukh. On-line and Off-line Chinese-Portuguese Translation Service for Mobile Applications. Computación y Sistemas, ISSN 1405-5546, Vol. 18, No. 3, 2014 pp. 603–610; doi: 10.13053/CyS-18-3-2047.
78. Alexander Gelbukh. Unsupervised Learning for Syntactic Disambiguation. Computación y Sistemas, ISSN 1405-5546, Vol. 18, No. 2, 2014, pp. 329–344; doi: 10.13053/CyS-18-2-2014-035.
79. Eduardo Cendejas, Grettel Barceló, Grigori Sidorov, Alexander Gelbukh, Liliana Chanona–Hernandez. Redes de palabras alineadas como recurso en la extracción de equivalencias léxicas de traducción y su aplicación en la alineación (Aligned Word Networks as a Resource for Extraction of Lexical Translation Equivalents, and their Application to the Text Alignment Task). Polibits, ISSN 1870-9044, Issue 46, 2012, pp. 39–48.
80. Alexander Gelbukh, Olga Kolesnikova. Supervised Learning Algorithms Evaluation on Recognizing Semantic Types of Spanish Verb-Noun Collocations (Evaluación de algoritmos de aprendizaje supervisado para reconocimiento de las clases semánticas de colocaciones verbo-sustantivo en español). Computación y Sistemas, ISSN 1405-5546, Vol. 16, No. 3, 2012, pp. 297–308.
81. Horacio Alberto García Salas, Alexander Gelbukh, Hiram Calvo, Fernando Galindo Soria. Automatic music composition with simple probabilistic generative grammars. Polibits, ISSN 1870-9044, N 44, 2011, pp. 59–65.
82. Partha Pakray, Soujanya Poria, Sivaji Bandyopadhyay, Alexander Gelbukh. Semantic Textual Entailment Recognition using UNL. Polibits, ISSN 1870-9044, Issue 43, 2011, pp. 23–27.
83. Hiram Calvo, Alexander Gelbukh. Automatic Semantic Role Labeling using Selectional Preferences with Very Large Corpora (abstract of PhD thesis of Hiram Calvo). Computación y Sistemas, ISSN 1405-5546, Vol. 12 No. 1, July–September 2008, pp. 128–150.
84. Yoel Ledo Mezquita, Alexander Gelbukh, Grigori Sidorov. Recuperación de Información con Resolución de Ambigüedad de Sentidos de Palabras para el Español (Information Retrieval with Word Sense Disambiguation for Spanish; abstract of PhD thesis of Yoel Ledo Mezquita). Computación y Sistemas, ISSN 1405-5546, Vol. 11 No. 3, January–March 2008, pp. 288–300.
85. Manuel Montes-y-Gomez, Alexander Gelbukh, Aurelio López López. Minería de texto empleando la semejanza entre estructuras semánticas (abstract of PhD thesis of Manuel Montes). Computación y Sistemas, ISSN 1405-5546, Vol. 9 No. 1, July–September 2005, pp. 63–81.
86. Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. Document Indexing with a Concept Hierarchy. Computación y Sistemas, ISSN 1405-5546, Vol. VIII No. 4, April–June 2005, pp. 281–292.
87. Alexander Gelbukh, Grigori Sidorov, Francisco Velásquez. Análisis morfológico automático del español a través de generación. Escritos, ISSN 0188–6126, N 28, 2003, pp. 9–26.
88. Alexander Gelbukh, Grigori Sidorov. Hacia la verificación de diccionarios explicativos asistidos por computadora. Estudios de Lingüística Aplicada, ISSN 0185-2647, N 38, 2003, pp. 89–108.
89. Alexander Gelbukh. Exact and approximate prefix search under access locality requirements for morphological analysis and spelling correction. Computación y Sistemas, ISSN 1405-5546, vol. 6, N 3, 2003, pp. 167–182.
90. Alexander Gelbukh. Lazy query expansion. Computación y Sistemas, ISSN 1405-5546, Vol. 6, No. 1, July-September 2002, p. 13–24.
91. Alexander Gelbukh, Grigori Sidorov, Igor Bolshakov. On Coherence Maintenance in Human-Machine Dialogue with Contextual Ellipses. Computación y Sistemas, ISSN 1405-5546, Vol. 5, N 3, 2002, pp. 204–214.
92. Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López. Mining the news: trends, associations, and deviations. Computación y Sistemas, ISSN 1405-5546, Vol. 5, N 1, 2001, pp. 14–24.
93. Sergio Damián, Alexander Gelbukh, Hiram Calvo. Detección de noticias falsas en sitios web y redes sociales: Una investigación del estado del arte. Research in Computing Science, ISSN 1870-4069, vol. 149, no. 8, 2020, pp. 907–914.
94. Snehlata Sheoran, Neetu Mittal, Alexander Gelbukh. Artificial bee colony algorithm in data flow testing for optimal test suite generation. International Journal of System Assurance Engineering and Management, ISSN 0975-6809, eISSN 0976-4348, vol. 11, 2020, pp. 340–349; doi: 10.1007/s13198-019-00862-1 (published in 2019).
SJR 2018: 0.29 (Q3).
95. Iskander Akhmetov, Alexander Krassovitsky, Irina Ualiyeva, Alexander Gelbukh, Rustam Mussabayev. An Open-Source Lemmatizer for Russian Language based on Tree Regression Models. Research in Computing Science, ISSN 1870-4069, vol. 149, no. 3, 2020, pp. 147–153.
96. Carolina Fócil-Arias, Grigori Sidorov, Alexander Gelbukh, Miguel A. Sanchez-Perez. A Comparative Analysis of Learning Techniques for Cancer Risk Prediction based on Medical Textual Records. Research in Computing Science, ISSN 1870-4069, vol. 130, 2016, pp. 77–88.
97. Goutam Majumder, Partha Pakray, Alexander Gelbukh. Measuring Semantic Textual Similarity of Sentences Using Modified Information Content and Lexical Taxonomy. International Journal of Computational Linguistics and Applications, vol. 7, no. 2, 2016, pp. 65–85.
98. Francisco Javier Garcia-Lopez, Ildar Batyrshin, Alexander Gelbukh. Similitud de series de tiempo basada en longitud de patrones de la transformada por aproximación móvil. Research in Computing Science, ISSN 1870-4069, Vol. 115, 2016, pp. 79–92.
99. Claudia Jeanneth Becerra Cortés, Sergio Gonzalo Jiménez Vargas, Fabio Augusto González Osorio, Alexander Gelbukh. Recomendación de productos a partir de perfiles de usuario interpretables (Products recommendation based on interpretable user profiles). Tecnura, ISSN: 0123-921X, Vol. 19, No. 45, 2015, pp. 89–100; doi: 10.14483/udistrital.jour.tecnura.2015.3.a07.
100. Ivan Omar Cruz-Garcia, Alexander Gelbukh, Grigori Sidorov. Implicit Aspect Indicator Extraction for Aspect-based Opinion Mining. International Journal of Computational Linguistics and Applications, Vol. 5 No. 2, 2014, pp. 135–152.
101. Sabino Miranda-Jiménez, Alexander Gelbukh, Grigori Sidorov. Conceptual Graphs as Framework for Summarizing Short Texts. International Journal of Conceptual Structures and Smart Applications, ISSN: 2166-7292, eISSN: 2166-7306, Vol. 2, No. 2, 2014, pp. 55–75; doi: 10.4018/IJCSSA.2014070104.
102. Alexander Gelbukh. Enriquecimiento parcial de la consulta para la recuperación de información de alta calidad y flexibilidad. Research in Computing Science, ISSN 1870-4069, Vol. 73, 2014, pp. 17–44.
103. Pinaki Bhaskar, Partha Pakray, Alexander Gelbukh, Sivaji Bandyopadhyay. Entailment-based Fully Automatic Technique for Evaluation of Summaries. Research in Computing Science, ISSN 1870-4069, Vol. 65, 2013, pp. 11–23.
104. Partha Pakray, Alexander Gelbukh, Sivaji Bandyopadhyay. Aplicación de la implicación textual en un sistema de la validación de respuestas automáticas (An Application of Textual Entailment Recognition in an Answer Validation System). In Spanish, with abstract in English. Research in Computing Science, ISSN 1870-4069, Vol. 62, 2013, pp. 79–94.
105. Francisco Viveros-Jiménez, Efrén Mezura-Montes, Alexander Gelbukh. Empirical Analysis of a Micro-Evolutionary Algorithm for Numerical Optimization. International Journal of the Physical Sciences, ISSN 1992-1950, Vol. 7(8), pp. 1235–1258, 16 February, 2012; doi: 10.5897/IJPS11.303.
SJR 2012: 0.271 (Q3). JCR impact factor 2010 (when submitted): 0.540.
106. Miguel Rios, Alexander Gelbukh. Recognizing Textual Entailment with Similarity Metrics. Research in Computing Science, ISSN 1870-4069, Vol. 58, 2012, pp. 337–347.
107. Liliana Chanona-Hernández, Alexander Gelbukh. Corpus morfológicamente representativo: preparación de datos y compilación para el español. Research in Computing Science, ISSN 1870-4069, Vol. 56, 2012, pp. 131–143.
108. Partha Pakray, Utsab Barman, Sivaji Bandyopadhyay, Alexander Gelbukh. Semantic Answer Validation using Universal Networking Language. International Journal of Computer Science and Information Technologies (IJCSIT), ISSN 0975-9646. Vol. 3 issue 4, 2012, pp. 4927–4932.
109. Alisa Zhila, Alexander Gelbukh. Análisis de una aplicación multilingüe del agrupamiento de textos. Research in Computing Science, ISSN 1870-4069, Vol. 55, 2012, pp. 45–56.
110. Alexander Gelbukh. Ontology-based Semantic Relatedness Measures: Applications and Calculation. Research in Computing Science, ISSN 1870-4069, Vol. 47, 2012, pp. 117–138.
111. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Textual Entailment using Lexical and Syntactic Similarity. International Journal of Artificial Intelligence & Applications (IJAIA), ISSN 0976-2191, Vol.2, No.1, January 2011, pp. 43–58; DOI: 10.5121/ijaia.2011.2104.
112. Sonia Ordoñez Salinas, Alexander Gelbukh. Representación computacional del lenguaje natural escrito. Ingeniería, ISSN 0121-750X, Universidad Distrital F.J.C., Colombia, vol. 15, No. 1, 2010, pp. 6–21.
Indexed: Latindex.
113. Olga Kolesnikova, Alexander Gelbukh. Using WEKA for Semantic Classification of Spanish Verb-Noun Collocations. Research in Computing Science, N 45, ISSN 1870-4069, 2010.
114. Ricardo Ávila-Argüelles, Hiram Calvo, Alexander Gelbukh, Salvador Godoy-Calderón. Assigning Library of Congress Classification Codes to Books Based Only on their Titles. Informatica, Slovenia, print ISSN 0350-5596, web ISSN 1854-3871; Vol. 34, N 1, 2010, p. 77–84.
SJR 2010: 0.276 (Q3).
115. Sulema Torres, Alexander Gelbukh. Comparing Similarity Measures for Original WSD Lesk Algorithm. ENC 2009. Alejandro Buchmann (Ed.). Advances in Computer Science and Applications. Research in Computing Science, ISSN 1870-4069, N 43, pp.155–166.
116. Miguel Ángel Ríos Gaona, Salvador Godoy Calderón, Alexander Gelbukh. Word Sense Disambiguation with the KORA-W Algorithm. Advances in Intelligent and Information Technologies. Research in Computing Science, ISSN 1870-4069, N 38, 2008, pp. 263–270.
117. René Arnulfo García-Hernández, Yulia Ledeneva, Alexander Gelbukh, Citlalih Gutiérrez. An Assessment of Word Sequence Models for Extractive Text Summarization. Advances in Intelligent and Information Technologies. Research in Computing Science, ISSN 1870-4069, N 38, 2008, pp. 253–262.
118. Yulia Ledeneva, Alexander Gelbukh, René García Hernandez. Keeping Maximal Frequent Sequences Facilitates Extractive Summarization. Research in Computing Science, ISSN 1870-4069, vol. 34, 2008, pp. 163–174.
119. Javier Tejada-Cárcamo, Alexander Gelbukh, Hiram Calvo. An innovative two-stage WSD unsupervised method. Procesamiento de Lenguaje Natural, N 40, March 2008. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, pp. 99–106.
SJR 2018: 0.235 (Q2); not in Scopus when published.
120. Hiram Calvo, Alexander Gelbukh. Extracting WordNet-like Top Concepts from Explanatory Dictionaries. International Journal of Translation, Vol. 20, No. 1–2, ISSN 0970-9819, 2008, pp. 57–66.
121. Carlos Mario Zapata Jaramillo, Alexander Gelbukh, Fernando Arango Isaza. A Novel CASE Tool based on Pre-Conceptual Schemas for Automatically Obtaining UML Diagrams (Una Novedosa Herramienta CASE basada en Esquemas Preconceptuales para la Obtención Automática de Diagramas UML). Avances en Sistemas e Informática, Colombia. ISSN 1657-7663, Vol. 4, N 2, September 2007, pp. 117–124. Edición Especial: II Congreso Colombiano de Computación - CCC 2007.
122. Yulia Ledeneva, Alexander Gelbukh, Carlos A. Reyes García, Rene A. Garcia Hernandez. Automatic Determination of Parameters for Rule Base Reduction of Complex Fuzzy Control Systems. 8th Conference on Computing CORE-2007, Mexico City, Mexico, May 2007. Advances in Computer Science and Engineering. Research in Computing Science, ISSN 1870-4069, Vol. 27, pp. 37–48.
123. Sofia N. Galicia-Haro, Alexander Gelbukh. Complex named entities in Spanish texts: Structures and properties. In: Satoshi Sekine and Elisabete Ranchhod (eds.), Named Entities: Recognition, classification and use. Special issue. Lingvisticæ Investigationes 30:1 (2007): 69–94; ISSN 0378-4169, E-ISSN 1569-9927.
SJR 2018: 0.144 (Q3); not in Scopus when published.
Reprinted as a book chapter:
▪ Sofia N. Galicia-Haro, Alexander Gelbukh. Complex named entities in Spanish texts: Structures and properties. In: Satoshi Sekine and Elisabete Ranchhod (eds.), Named Entities: Recognition, classification and use. Harbound: ISBN 978 90 272 2249 7; e-book: ISBN 978 90 272 8922 3, John Benjamins Publishing Co., Benjamins Current Topics, 19 (2009): 71–96.
124. Alexander Gelbukh, Igor A. Bolshakov. Internet, a true friend of translator: the Google wildcard operator. International Journal of Translation, ISSN 0970-9819, Vol. 18, No. 1–2, 2006, pp. 41–48.
125. Carlos Mario Zapata Jaramillo, Fernando Arango Isaza, Alexander Gelbukh. Pre-conceptual Schema: a UML Isomorphism for Automatically Obtaining UML Conceptual Schemas. In: Advances in Computer Science and Engineering. Research in Computing Science, Vol. 19, ISSN 1665-9899, IPN, 2006, printing 500, pp. 3–14.
126. Xavier Blanco, Mikhail Alexandrov, Alexander Gelbukh. Modified Makagonov’s Method for Testing Word Similarity and its Application to Constructing Word Frequency Lists. In: Advances in Natural Language Processing. Research in Computing Science, Vol. 18, ISSN 1665-9899, IPN, 2006, printing 500, pp. 27–36.
127. Alexander Gelbukh, Hiram Calvo, Sulema Torres. Transforming a Constituency Treebank into a Dependency Treebank. Procesamiento de Lenguaje Natural, N 35, September 2005. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain.
SJR 2018: 0.235 (Q2); not in Scopus when published.
128. Alexander Gelbukh, Grigori Sidorov, Yoel Ledo-Mezquita. Some Linguistic Methods of Improving the Quality of Document Retrieval on the Internet. International Journal of Electronic Business (IJEB), UK, ISSN 1470-6067, ISSN 1741-5063, Vol. 3, No. 3/4, May–June 2005, Special Issue “Multidisciplinary, Interdisciplinary, and Transdisciplinary Research in Electronic Business,” Part I, pp. 264–275.
SJR 2018: 0.19 (Q3); not in Scopus when published.
129. Mikhail Alexandrov, Xavier Blanco, Alexander Gelbukh, Pavel Makagonov. Knowledge-poor Approach to Constructing Word Frequency Lists, with Examples from Romance Languages. Procesamiento de Lenguaje Natural, No 33, September 2004. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, pp. 127–132.
SJR 2018: 0.235 (Q2); not in Scopus when published.
130. A. F. Gelbukh, G. O. Sidorov, Sang Yong Han. Автоматическое разрешение неоднозначности значений слов в словарных толкованиях (in Russian, Automatic word sense disambiguation in dictionary definitions). Nauchno-Tehnicheskaya Informaciya (NTI), ISSN 0548-0027, ser. 2, N 3, 2004, pp. 10–15.
131. A. Gelbukh, G. Sidorov, S. N. Galicia-Haro, I. A. Bolshakov. Method and Means of Development of Context-Free Grammars for Natural Language Parsers. WSEAS Transactions on Communications, ISSN 1109-2742. Issue 1 vol. 3, January, 2004, pp. 87–92.
SJR 2017: 0.116 (Q4); not in Scopus when published.
132. Alexander Gelbukh, Grigori Sidorov, Sang Yong Han. Comparison of some global coherence optimization heuristics for word sense disambiguation. Research on computing science, ISSN 1665-9899, 2003, Vol. 3, pp. 181–185.
Also printed as:
▪ Alexander Gelbukh, Sang Yong Han, Grigori Sidorov. Comparison of some global coherence optimization heuristics for word sense disambiguation. Juan Luis Días de León Santiago et al. (eds.), Avances en: Ciencias de la Computación (selected papers of CIC-2003, XII Congreso Internacional de Computación), ISBN 970-36-0098-0, p. 131–135.
133. Hiram Calvo, Alexander Gelbukh. Natural Language Interface Framework for Spatial Object Composition Systems. Procesamiento de Lenguaje Natural, No 31, September 2003. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, pp. 285–292.
SJR 2018: 0.235 (Q2); not in Scopus when published.
134. Alexander Gelbukh, Grigori Sidorov, Yoel Ledo-Mezquita. On similarity of word senses in explanatory dictionaries. International Journal of Translation, ISSN 0970-9819, Vol. 15, No. 2, 2003, pp. 51–60.
135. Alexander Gelbukh, Igor A. Bolshakov. Internet, a true friend of translator. International Journal of Translation, ISSN 0970-9819, Vol. 15, No. 2, 2003, pp. 31–50.
136. Alexander Gelbukh, Grigori Sidorov, Sang Yong Han. Evolutionary Approach to Natural Language Word Sense Disambiguation through Global Coherence Optimization. WSEAS Transactions on Communications, ISSN 1109-2742, Issue 1 Vol. 2, January 2003, p. 11–19.
SJR 2017: 0.116 (Q4); not in Scopus when published.
www.worldses.org/journals/communications/january2003.doc.
137. I. A. Bolshakov, A. Gelbukh. Paronyms for Accelerated Correction of Semantic Errors. International Journal on Information Theories and Applications, ISSN 1310-0513, Vol.10, 2003, pp. 11–19.
138. Igor Bolshakov, Alexander Gelbukh. Word Combinations as an important part of modern electronic dictionaries. Procesamiento de Lenguaje Natural, No 29, September 2002. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, p. 47–54.
SJR 2018: 0.235 (Q2); not in Scopus when published.
139. Alexander Gelbukh, Grigori Sidorov. Selección automática del vocabulario definidor en un diccionario explicativo. Procesamiento de Lenguaje Natural, No 29, September 2002. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, p. 55–64.
SJR 2018: 0.235 (Q2); not in Scopus when published.
Early version:
▪ Alexander Gelbukh and Grigori Sidorov. Selección automática del vocabulario definidor en un diccionario explicativo. Technical report, Serie Azul, N 104, June 2001. CIC, IPN, ISBN 970-18-6978-8, 13 pp.
140. Alexander Gelbukh, Grigori Sidorov. Morphological Analysis of Inflective Languages through Generation. Procesamiento de Lenguaje Natural, No 29, September 2002. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, p. 105–112.
SJR 2018: 0.235 (Q2); not in Scopus when published.
141. Sofía Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Análisis sintáctico para el español basado en el formalismo de la teoría significado-texto. Procesamiento de Lenguaje Natural, No 29, September 2002. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, p. 81–88.
SJR 2018: 0.235 (Q2); not in Scopus when published.
142. Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López, Ricardo Baeza-Yates. Un método de agrupamiento de grafos conceptuales para minería de texto. Procesamiento de Lenguaje Natural, No 27, September 2001. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, pp. 115–122.
SJR 2018: 0.235 (Q2); not in Scopus when published.
Revised version:
▪ Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López, Ricardo Baeza-Yates. Minería de texto empleando grafos conceptuales. Technical report, Serie Azul, N 105, June 2001. CIC, IPN, ISBN 970-18-6979-6, 9 pp.
143. S. Galicia Haro, A. Gelbukh, I. A. Bolshakov. Una aproximación para resolución de ambigüedad estructural empleando tres mecanismos diferentes. Procesamiento de Lenguaje Natural, No 27, September 2001. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, pp. 55–64.
SJR 2018: 0.235 (Q2); not in Scopus when published.
144. A.F. Gelbukh, G.O. Sidorov. Zipf and Heaps law coefficients for Russian and English (in Russian). Nauchno-Tehnicheskaya Informaciya (NTI), ISSN 0548-0027, ser. 2, vol. 9, Moscow, Russia, 2001, pp. 32–37.
JCR impact factor 1994: 0.008; not in JCR when published.
145. Alexander Gelbukh, Grigori Sidorov. On Zipf and Heaps law coefficients for English and Russian. Automatic Documentation and Mathematical Linguistics, ISSN 0005-1055, Allerton Press, vol. 35, N 5, 2001, pp. 23–31.
Translation of: A.F. Gelbukh, G.O. Sidorov. Zipf and Heaps law coefficients for Russian and English (in Russian). Nauchno-Tehnicheskaya Informaciya (NTI), ISSN 0548-0027, ser. 2, vol. 9, Moscow, Russia, 2001, pp. 32–37.
146. A. Gelbukh, G.O. Sidorov, S.N. Galicia Haro, I.A. Bolshakov. Environment for Development of a Natural Language Syntactic Analyzer (in Russian). Acta Academia 2002, International Informatization Academy (branch of Moldova) and United Nations, Evrica, Chisinau, Moldova, 2002, pp. 206–213.
147. I.A. Bolshakov and A. Gelbukh. On a method of quantitative evaluation of text cohesion (in Russian). Acta Academia 2002, International Informatization Academy (branch of Moldova) and United Nations, Evrica, Chisinau, Moldova, 2002, pp. 214–220.
148. A.F. Gelbukh, G.O. Sidorov. Heaps law coefficients for Russian and English languages (in Russian). In: Acta Academia 2001, International Informatization Academy (branch of Moldova) and United Nations, Evrica, Chisinau, Moldova, 2001, ISBN 9975-941-60-55, printing 1000, pp. 184–188.
149. Igor A. Bolshakov and Alexander F. Gelbukh. A Large Database of Collocations and Semantic References: Interlingual Applications. International Journal of Translation, ISSN 0970-9819, Vol.13, No.1–2, 2001, pp. 167–187.
Reprinted as a book chapter:
▪ Igor A. Bolshakov and Alexander F. Gelbukh. A Large Database of Collocations and Semantic References: Interlingual Applications. M. Blekhman (ed.), Machine Translation: Theory and Practice, Bahri Publications, 2001, pp. 167–187.
150. Igor A. Bolshakov and Alexander F. Gelbukh. The Obligatory Characteristics of Nouns in the Languages with Articles (in Russian). In: Acta Academia 2000, printing 500, International Informatization Academy (branch of Moldova) and United Nations, Evrica, Chisinau, Moldova, 2000, ISBN 9975-941-52-4, pp. 204–208.
www.iia.md, www.iia.md/AA00CNT.htm
151. Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. A system of Search, Classification, and Thematic Summarization of Documents with the use of a Hierarchical Thesaurus (in Russian). In: Acta Academia 2000, International Informatization Academy (branch of Moldova) and United Nations, Evrica, Chisinau, Moldova, 2000, ISBN 9975-941-52-4, printing 500, pp. 190–203.
www.iia.md, www.iia.md/AA00CNT.htm
152. M. Alexandrov, A. Gelbukh, P. Makagonov. A language-independent approach to evaluation of the document thematic structure. In: Acta Academia 2000, printing 500, International Informatization Academy (branch of Moldova) and United Nations, Evrica, Chisinau, Moldova, 2000, ISBN 9975-941-52-4, pp. 177–189.
www.iia.md, www.iia.md/AA00CNT.htm
153. I.A. Bolshakov and A.F. Gelbukh. Рубрикация словосочетаний в базах данных по элементам толкования сочетаемых слов (Rubrification of Word Combinations in the Databases by Elements of Meaning of Combined Words, in Russian). Nauchno-Tehnicheskaya Informaciya, ISSN 0548-0027, ser. 2, vol. 6, Moscow, Russia, 2000, pp. 26–33.
JCR impact factor 1994: 0.008; not in JCR when published.
Revised version:
▪ I.A. Bolshakov, A.F. Gelbukh. Classification of Collocations in a Lexical Database by Meaning of the Combined Words. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 5–15.
154. I.A. Bolshakov, A.F. Gelbukh. Classification of collocations in databases by meaning of combined words. Automatic Documentation and Mathematical Linguistics, ISSN 0005-1055, Allerton Press, vol. 34, N 3, 2000, pp. 64–74.
Translation of: I.A. Bolshakov and A.F. Gelbukh. Рубрикация словосочетаний в базах данных по элементам толкования сочетаемых слов (Rubrification of Word Combinations in the Databases by Elements of Meaning of Combined Words, in Russian). Nauchno-Tehnicheskaya Informaciya, ISSN 0548-0027, ser. 2, vol. 6, Moscow, Russia, 2000, pp. 26–33.
155. I.A. Bolshakov, A.F. Gelbukh. The Meaning ⇔ Text Model: Thirty Years After (in Russian). International Forum on Information and Documentation, FID 519, ISSN 0304-9701, N 1, 2000, pp. 10–16.
SSCI: JCR impact factor 1999 (when submitted): 0.160; not in JCR when published.??
Slightly revised version:
▪ I.A. Bolshakov and A.F. Gelbukh. On Contemporary Status of the Meaning ⇔ Text Model. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 17–25.
156. I.A. Bolshakov, A.F. Gelbukh, S.N. Galicia Haro. Electronic Dictionaries: For both Humans and Computers (in Russian). International Forum on Information and Documentation, FID 519, ISSN 0304-9701, N 3, 1999, pp. 17–22.
SSCI: JCR impact factor 1999 (when published): 0.160; not in JCR.
Slightly revised version:
▪ Igor A. Bolshakov, Alexander F. Gelbukh, Sofia N. Galicia-Haro. Towards the Idea of a Universal Dictionary. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 33–43.
157. Alexander Gelbukh. Разрешение синтаксической неоднозначности и извлечение словаря моделей управления из корпуса текстов (Syntactic disambiguation and extraction of a government pattern dictionary from a text corpus, in Russian). Искусственный интеллект (Artificial intelligence, ISSN 1561-5375, ISSN 1561-5359, ISSN 1561-5367, Ukraine) N 2, 1999, special issue: proc. 8th International Conference Knowledge-Dialogue-Solution (KDS–99), Yalta, Ukraine, September 13–18, 1999, pp. 313–320.
158. Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. Система поиска и классификации документов с использованием иерархического словаря тем (A system for search and classification of the documents with the use of a hierarchic thematic dictionary, in Russian). Искусственный интеллект (Artificial intelligence, ISSN 1561-5375, ISSN 1561-5359, ISSN 1561-5367, Ukraine) N 2, 1999, special issue: proc. 8th International Conference Knowledge-Dialogue-Solution (KDS–99), Yalta, Ukraine, September 13–18, 1999; pp. 321–328.
159. S. Galicia Haro, I. Bolshakov, A. Gelbukh. Diccionario de patrones de manejo sintáctico para análisis de textos en español. Procesamiento de Lenguaje Natural, No 23, September 1998. Sociedad Española para el Procesamiento de Lenguaje Natural (SEPLN), ISSN 1135-5948, Spain, pp. 171–176.
SJR 2018: 0.235 (Q2); not in Scopus when published.
Revised version:
▪ Galicia Haro, Sofía N., Alexander F. Gelbukh, Igor A. Bolshakov. Descripción y aplicación de un diccionario de patrones de manejo sintáctico para el español. In: A. de Albornoz Bueno et al. (eds.), Selected Works 1997–1998, Instituto Politécnico Nacional, Centro de Investigación en Computación, ISBN 970-18-3427-5, 1999, pp. 141–149.
160. A.F. Gel’bukh. Effective implementation of morphology model for an inflectional natural language. Automatic Documentation and Mathematical Linguistics, ISSN 0005-1055, Allerton Press, vol. 26, N 1, 1992, pp. 22–31.
Translation of: A. Gelbukh. Эффективно реализуемая модель морфологии флективного естественного языка (Efficiently-Realized Model of the Natural-Language Morphology, in Russian). Nauchno-Tekhnicheskaya Informatsiya, ISSN 0548-0027, ser. 2, vol. 1, Moscow, Russia, 1992, pp. 24–31.
161. A.F. Gel’bukh. Minimizing the number of memory accesses in dictionary morphologic analysis. Automatic Documentation and Mathematical Linguistics, ISSN 0005-1055, Allerton Press, vol. 25, N 3, 1991, pp. 40–45.
Translation of: A. Gelbukh. Минимизация количества обращений к дисковой памяти при словарном морфологическом анализе (Minimizing the Use of Disk Memory During Vocabulary Morphological Analysis, in Russian). Nauchno-Tekhnicheskaya Informatsiya, ISSN 0548-0027, ser. 2, vol. 6, Moscow, Russia, 1991, pp. 15–21.
162. A. Gelbukh, Hiram Calvo. Automatic Syntactic Analysis Based on Selectional Preferences. ISBN 978-3-319-74053-9. Series: Studies Computational Intelligence, Vol. 765, ISSN 1860-949X. Springer, 2018, 165 pp.; doi: 10.1007/978-3-319-74054-6.
163. A. Gelbukh. Multiword Expressions in Automatic Natural Language Processing. Sociedad Mexicana de Inteligencia Artificial. ISBN 978-607-96749-1-5, 2015, 170 pp.
164. A. Gelbukh. Métodos y aplicaciones de la lingüística computacional. Sociedad Mexicana de Inteligencia Artificial. ISBN 978-607-96749-2-2, 2015, 310 pp.
165. A. Gelbukh, Olga Kolesnikova. Semantic Analysis of Verbal Collocations with Lexical Functions. ISBN 978-3-642-28770-1. Series: Studies in Computational Intelligence, Vol. 414, ISSN 1860-949X. Springer, 2013, XI + 146 pp; doi: 10.1007/978-3-642-28771-8.
166. Hiram Calvo, A. Gelbukh. DILUCT: Análisis sintáctico semisupervisado para el español: Determinación automática de roles semánticos con preferencias de selección sobre corpus muy grandes. Editorial Académica Española. 4 Nov. 2011. ISBN 978-3845493435. 192 pp.
167. S. N. Galicia Haro, A. Gelbukh. Investigaciones en análisis sintáctico para el español. IPN, Mexico, ISBN 970-36-0265-7, 2007, 324 pp.
168. A. Gelbukh, G. Sidorov. Procesamiento automático del español con enfoque en recursos léxicos grandes. Segunda edición, ampliada y revisada. IPN, Mexico, ISBN 978-607-414-171-9, 2010, 307 pp.
First edition:
▪ A. Gelbukh, G. Sidorov. Procesamiento automático del español con enfoque en recursos léxicos grandes. IPN, Mexico, ISBN 970-36-0264-9, 2006, 240 pp.
169. I.A. Bolshakov, A. Gelbukh. Computational linguistics: models, resources, applications. IPN – UNAM – Fondo de Cultura Económica, Mexico, ISBN 970-36-0147-2, 2004, 187 pp.
Note: Some citations of this book are indexed by Google Scholar as citations of a review paper by Anna Feldman in Computational Linguistics 32(3):443–444, 2006.
Nota: Un capítulo más es una reimpresión de un artículo: A Large Database of Collocations and Semantic References: Interlingual Applications, y un capítulo más es una reimpresión de un artículo: Complex named entities in Spanish texts: Structures and properties.
170. Jason Angel, Christian E. Maldonado-Sifuentes, Alexander Gelbukh, Grigori Sidorov. Developing a Language-Learning Resource for Indigenous Endangered Languages of Mexico. Chapter IV. Procesamiento de lenguaje natural para las lenguas indígenas. Universidad Michoacana de San Nicolás de Hidalgo; ISBN 978-607-542-182-7, 2021, pp. 66–80.
171. Christian E. Maldonado-Sifuentes, Jason Angel, Grigori Sidorov, Alexander Gelbukh. Towards the Inclusion of Indigenous Languages on NLP Mainstream Research: Challenges, Relevance, and a Roadmap Proposal. Chapter X. Procesamiento de lenguaje natural para las lenguas indígenas. Universidad Michoacana de San Nicolás de Hidalgo; ISBN 978-607-542-182-7, 2021, pp. 161–172.
172. Alexander Gelbukh, José A. Martínez F., Andres Verastegui, Alberto Ochoa. Issues in the Syntactic Parsing of Queries for a Natural Language Interface to Databases. Handbook of Research on Natural Language Processing and Smart Service Systems. IGI Global; ISBN 978-1-7998-4730-4, 2021, pp. 157–179; doi: 10.4018/978-1-7998-4730-4.ch007.
173. Rohini Basak, Sudip Kumar Naskar, Alexander Gelbukh. A Lexico-Syntactic-Semantic Approach to Recognizing Textual Entailment. In: Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao (eds.) Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence. IGI Global; ISBN 978-1-7998-3038-2, 2020, 403 pp. Chapter 10: pp. 187–227; doi: 10.4018/978-1-7998-3038-2.ch010.
174. Alexander Gelbukh. Procesamiento automático del lenguaje natural. In: Inteligencia Artificial. Alfaomega Grupo Editor, ISBN 978-607-622-696-4, 2018, 660 pp.; Chapter 7: pp. 261–294.
175. L. A. Pineda, H. Calvo, L. Villaseñor, N. A. Castro, A. Gelbukh, Y. Hernández, H. Jiménez, M. Montes, D. Pinto, F. Sánchez, G. Sidorov. Lingüística Computacional. In: La Computación en México por especialidades académicas. Academia Mexicana de Computación, ISBN 978-607-97357-1-5, 2017, 301 pp.; Chapter 3: pp. 91–126.
176. Alexander Gelbukh, Olga Kolesnikova. Multiword Expressions in NLP: General Survey and a Special Case of Verb-Noun Constructions. In: Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal (eds.). Emerging Applications of Natural Language Processing: Concepts and New Research. IGI Global, ISBN 978-1-4666-2169-5, 2013, 366 pp. Chapter 1: pp. 1–21; doi: 10.4018/978-1-4666-2169-5.ch001.
177. Alisa Zhila, Alexander Gelbukh. Clasificación de los métodos para la mejora de WSD y de los métodos de evaluación correspondientes. Miguel González Mendoza, Oscar Herrera Alcántara (Eds.). Avances recientes en sistemas inteligentes. Sociedad Mexicana de Inteligencia Artificial, 2011, ISBN 978-607-95367-3-2, 10 p.
178. Sonia Ordoñez-Salinas, Alexander Gelbukh. Generación de grafos conceptuales. Miguel González Mendoza, Oscar Herrera Alcántara (Eds.). Avances en sistemas inteligentes en México. Sociedad Mexicana de Inteligencia Artificial, 2010, ISBN 978-607-95367-2-5, pp. 139–150.
179. S. N. Galicia-Haro, Alexander Gelbukh. Expresiones temporales, estudio preliminar de algunas formas con adverbio. In: M.ª Auxiliadora Castillo Carballo, Juan Manuel García Platero (Eds.). La Lexicografía en su dimensión teórica. Selected papers of III Congreso Internacional de Lexicografía Hispánica, septiembre de 2008. ISBN 978-84-9747-297-5. Universidad de Málaga, 2010, 710 p.
180. Sofía N. Galicia-Haro, Alexander Gelbukh. Analyzing Spanish Temporal Expressions Expressing Age. Pascual Cantos Gómez, Aquilino Sánchez Pérez (eds.) A Survey on Corpus-based Research Panorama de investigaciones basadas en corpus, ISBN 978-84-692-2198-3. Asociación Española de Lingüística del Corpus, 2009, pp. 152–163.
181. Carlos Mario Zapata Jaramillo, Alexander Gelbukh, Carlos Mendez. Generación automática de ontologías para la educción de requisitos a partir de reglamentos y documentación técnica. Tendencias en Ingeniería de Software e Inteligencia Artificial. Vol. 3. Colombia. ISBN 978-958-44-5820-9, 2008, pp. 21–28.
182. Alberto Ochoa, Arturo Hernández, Saúl González, Arnulfo Castro, Alexander Gelbukh, Alberto Hernández, Halina Iztebegovič. Social Data Mining to Improve Bioinspired Intelligent Systems. In: Eugenia G. Giannopoulou (Ed.) Data Mining in Medical and Biological Research. In-Tech, Austria, ISBN 978-953-7619-30-5, 2008, 320 pp.; Chapter 17: pp. 291–320.
183. Yulia Ledeneva, René García Hernández, Alexander Gelbukh. Automatic estimation of parameters of complex fuzzy control systems. In: Aleksandar Lazinica (Ed.) New Developments in Robotics, Automation and Control. In-Tech, Croatia. 2008, ISBN 978-953-7619-20-6, 504 pp.; Chapter 25: pp. 475–504.
184. Alexander Gelbukh. Procesamiento del lenguaje natural: estado de la investigación. Catalina Naumis (Ed.). Bibliotecología y terminología: representación temática de contenidos documentales. México DF: CUIB. UNAM, 2008.
185. Sofía N. Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Hacia la determinación automática de palabras compuestas: el caso preposicional. In: Mar Campos Souto, Eugenia Conde Noguerol, José Ignacio Pérez Pascual, José Alvaro Porto Dapena (Eds.). Reflexiones sobre el diccionario. Universidade da Coruña, Spain, 2007, ISBN 84-8487-115-0, pp. 195–206.
Also appears as:
▪ Sofía N. Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Hacia la determinación automática de palabras compuestas: el caso preposicional. I Congreso Internacional de Lexicografía Hispánica. A Coruña, Spain, September 2004.
186. Wilbert A. Olán Cristobal, Alexander Gelbukh, Grigori Sidorov. Desarrollo de herramienta para lexicógrafo con detección automática de relaciones semánticas implícitas. Recientes avances en la Ciencia de la Computación en México, Series (later journal) Research on Computer Science, vol. 7, ISBN 970-36-0149-9, IPN, 2004, printing 500, p. 99–104.
187. P. Makagonov, M. Alexandrov, A. Gelbukh. Selection of typical documents in a document flow. N. Mastorakis and V. Kluev (eds.) Advances in Communications and Software Technologies. WSEAS Press, ISBN 960-8052-71-8, 2002, pp. 197–202.
Also appears as:
▪ Pavel Makagonov, Mikhail Alexandrov, Alexander Gelbukh. Selection of Representative Documents in a Document Collection. Joint Proc. WSEAS ICONEMC 2002, ICOSMO 2002, ICOSSIP 2002, ICOMIV 2002 and ICRODIC 2002, 2002, pp. 3801–3806.
188. J. Antonio Zárate M., Rodolfo A. Pazos R., Alexander Gelbukh, Joaquín Pérez O. Natural Language Interface for Web-based Databases. Nicos E. Mastorakis, Vitaliy V. Kluev (eds.), Advances in Multimedia, Video and Signal Processing Systems, ISBN 960-8052-72-6, WSEAS Press, 2002, pp. 65–70.
Also appears as:
▪ J. Antonio Zárate M, Rodolfo A. Pazos R, Alexander Gelbukh, Joaquín Pérez O. Natural Language Interface for Web-based Databases. Joint Proc. WSEAS ICONEMC 2002, ICOSMO 2002, ICOSSIP 2002, ICOMIV 2002 and ICRODIC 2002, 2002, pp. 3771–3776.
189. I.A. Bolshakov, Alexander Gelbukh. Enseñando idiomas extranjeros con una base de colocaciones. In: Caridad Anías Calderón, Yoel Ledo Mezquita (eds.) La telemática y su aplicación en la educación a distancia y en la informatización de la sociedad. Editorial "Félix Varela", Cuba, ISBN 959-261-042-8, 2002, Tomo II, p. 632–638.
190. Yoel Ledo Mezquita, Grigori Sidorov, Alexander Gelbukh, Caridad Anías Calderón. Sistema de asignación semiautomática de sentidos de palabras en textos en español. In: Caridad Anías Calderón, Yoel Ledo Mezquita (eds.) La telemática y su aplicación en la educación a distancia y en la informatización de la sociedad. Editorial "Félix Varela", Cuba, ISBN 959-261-042-8, 2002, Tomo II, p. 625–631.
191. Yoel Ledo Mezquita, Grigori Sidorov, Alexander Gelbukh, Caridad Anías Calderón. Búsqueda en bibliotecas digitales indexadas con sentidos de palabras. In: Caridad Anías Calderón, Yoel Ledo Mezquita (eds.) La telemática y su aplicación en la educación a distancia y en la informatización de la sociedad. Editorial “Félix Varela”, Cuba, ISBN 959-261-042-8, 2002, Tomo I, p. 288–299.
192. Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. Simple method for hierarchical conceptual indexing of documents using relational data model. Alexander Zemliak and Nikos E. Mastorakis (eds.). Advances in Information Science and Soft Computing, ISBN 960-8052-60-2, WSEAS Press, 2002, p. 134–139.
Reprinted as:
▪ Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. Simple method for hierarchical conceptual indexing of documents using relational data model. Technical report, Serie Roja, N 101, May 2002. CIC, IPN, ISBN 970-18-8082-X, 9 pp.
193. Sofía N. Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Compilation of a Mexican Spanish text corpora. Alexander Zemliak and Nikos E. Mastorakis (eds.). Advances in Information Science and Soft Computing, ISBN 960-8052-60-2, WSEAS Press, 2002, p.70–75.
Reprinted as:
▪ Sofía N. Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Compilation of a Mexican Spanish text corpora. Technical report, Serie Azul, N 129, March 2002. CIC, IPN, ISBN 970-18-7901-5, 9 pp.
194. George M. Adelson-Velsky, Alexander F. Gelbukh, Eugene Levner. A fast scheduling algorithm in AND-OR graphs. V.V. Kluev, N.E. Mastorakis (eds.), Topics in Applied and Theoretical Mathematics and Computer Science, ISBN 960-8052-47-6, WSEAS Press, 2001, pp. 170–175.
Reprinted as:
▪ George M. Adelson-Velsky, Alexander F. Gelbukh, Eugene Levner. A fast scheduling algorithm in AND-OR graphs. Technical report, Serie Azul, N 128, March 2002. CIC, IPN, ISBN 970-18-7900-7, 6 pp.
195. Manuel Montes y Gómez, Alexander F. Gelbukh, Aurelio López López. Document intentions expressed in titles. Extraction, representation, and possible use. In: A. de Albornoz Bueno et al. (eds.), Selected Works 1997–1998, Instituto Politécnico Nacional, Centro de Investigación en Computación, ISBN 970-18-3427-5, 1999, pp. 322–330.
An extended version of: Manuel Montes y Gómez, Aurelio López López. Nominalization in titles: a way to extract document details. Proc. CIC-98, Simposium Internacional de Computación, November 11–13, 1998, Mexico D.F., pp. 396–404.
196. Seyed Habib Hosseini-Saravani, Sara Besharati, Hiram Calvo, Alexander Gelbukh. Depression Detection in Social Media Using a Psychoanalytical Technique for Feature Extraction and a Cognitive Based Classifier. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 282–292. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_25.
197. Olumide E. Ojo, Alexander Gelbukh, Hiram Calvo, Olaronke O. Adebanji, Grigori Sidorov. Sentiment Detection in Economics Texts. Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 271–281. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_24.
198. Riyanka Manna, Dipankar Das, Alexander Gelbukh. Information Retrieval-Based Question Answering System on Foods and Recipes. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 260–270. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_23.
199. Riyanka Manna, Dipankar Das, Alexander Gelbukh. Question Classification in a Question Answering System on Cooking. Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 103–108. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_10.
200. Brian Daniel Herrera-González, Alexander Gelbukh, Hiram Calvo. Automatic Story Generation: State of the Art and Recent Trends. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 81–91. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_8.
201. Maaz Amjad, Yuriria Rodriguez Chavez, Zaryyab Nayab, Alisa Zhila, Grigori Sidorov, Alexander Gelbukh. Analysis of COVID-19 Pandemic Using Artificial Intelligence. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 65–73. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_6.
202. Thang Hoang Ta, Abu Bakar Siddiqur Rahman, Grigori Sidorov, Alexander Gelbukh. Mining Hidden Topics from Newspaper Quotations: The COVID-19 Pandemic. Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science, vol. 12469, 2020, pp. 51–64. Springer, Cham; ISBN 978-3-030-60887-3; doi: 10.1007/978-3-030-60887-3_5.
203. Kia Dashtipour, Ali Raza, Alexander Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain. PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words. Advances in Brain Inspired Cognitive Systems. International Conference on Brain Inspired Cognitive Systems, BICS 2019, 13–14 July, 2019, Guangzhou, China. ISBN 978-3-030-39430-1. Lecture Notes in Computer Science, N 11691, 2020, pp. 497–509; doi: 10.1007/978-3-030-39431-8_48.
204. Arturo Hernández-Miranda, Alexander Gelbukh, Olga Kolesnikova. Lexical Function Identification Using Word Embeddings and Deep Learning. 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Xalapa, Mexico, October 27 to November 2, 2019. Advances in Soft Computing. Lecture Notes in Artificial Intelligence, N 11835, 2019, pp. 77–86; doi: 10.1007/978-3-030-33749-0_7.
205. Sergio Jimenez, George Dueñas, Alexander Gelbukh, Carlos A. Rodriguez-Diaz, Sergio Mancera. Automatic Detection of Regional Words for Pan-Hispanic Spanish on Twitter. 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, 2018, Proceedings, ISBN 978-3-030-03927-1. Lecture Notes in Artificial Intelligence, N 11238, 2018, pp. 404–416; doi 10.1007/978-3-030-03928-8_33.
206. Olga Kolesnikova, Alexander Gelbukh. Exploring the Context of Lexical Functions. 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II, ISBN 978-3-030-04496-1. Lecture Notes in Artificial Intelligence, N 11289, 2018, pp 57–69; doi: 10.1007/978-3-030-04497-8_5.
207. Olga Kolesnikova, Alexander Gelbukh. Binary and Multi-class Classification of Lexical Functions in Spanish Verb-Noun Collocations. Advances in Computational Intelligence. 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Ensenada, Mexico, October 23–28, 2017, Proceedings, Part II. Lecture Notes in Artificial Intelligence, N 10633, 2018, in press.
208. Kia Dashtipour, Amir Hussain, Alexander Gelbukh. Adaptation of Sentiment Analysis Techniques to Persian Language. Computational Linguistics and Intelligent Text Processing. CICLing 2017. Lecture Notes in Computer Science, vol. 10762, ISBN 978-3-319-77116-8, ISSN 0302-9743. Springer, 2018, pp. 129–140; doi: 10.1007/978-3-319-77116-8_10.
209. Sandeep Kumar Dash, Partha Pakray, Robert Porzel, Jan Smeddinck, Rainer Malaka, Alexander Gelbukh. Designing an Ontology for Physical Exercise Actions. Computational Linguistics and Intelligent Text Processing. CICLing 2017. Lecture Notes in Computer Science, vol. 10761, ISBN 978-3-319-77113-7, ISSN 0302-9743. Springer, 2018, pp. 354–362; doi: 10.1007/978-3-319-77113-7_28.
210. Goutam Majumder, Partha Pakray, Zoramdinthara Khiangte, Alexander Gelbukh. Multiword Expressions (MWE) for Mizo Language: Literature Survey. Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science, vol. 9623, ISBN 978-3-319-75476-5, ISSN 0302-9743. Springer, 2018, pp. 623–635; doi: 10.1007/978-3-319-75477-2_45.
211. Olga Kolesnikova, Alexander Gelbukh. Characteristics of Most Frequent Spanish Verb-Noun Combinations. Advances in Computational Intelligence. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I. Lecture Notes in Artificial Intelligence, N 10061, 2017, pp. 27–40; doi: 10.1007/978-3-319-62434-1_3.
212. Riyanka Manna, Partha Pakray, Somnath Banerjee, Dipankar Das, Alexander Gelbukh. CookingQA: A Question Answering System based on Cooking Ontology. Advances in Computational Intelligence. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I. Lecture Notes in Artificial Intelligence, N 10061, 2017, pp. 67--78; doi: 10.1007/978-3-319-62434-1_6.
213. Pabel Carrillo-Mendoza, Hiram Calvo, Alexander Gelbukh. Intra-Document and Inter-Document Redundancy in Multi-Document Summarization. Advances in Computational Intelligence. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I. Lecture Notes in Artificial Intelligence, N 10061, 2017, pp. 105–115; doi: 10.1007/978-3-319-62434-1_9.
214. Ilia Markov, Helena Gómez-Adorno, Juan-Pablo Posadas-Durán, Grigori Sidorov, Alexander Gelbukh. Author Profiling with doc2vec Neural Network-Based Document Embeddings. Advances in Soft Computing. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I. Lecture Notes in Artificial Intelligence, N 10062, 2017, pp. 117–131; doi: 10.1007/978-3-319-62428-0_9.
215. Sandeep Kumar Dash, Partha Pakray, Alexander Gelbukh. Generating a Logical Structure for Virtualizing Physiotherapy Instructions through NLP. Advances in Soft Computing. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23–28, 2016, Proceedings, Part I. Lecture Notes in Artificial Intelligence, N 10062, 2017, pp. 513–523; doi: 10.1007/978-3-319-62428-0_42.
216. Sandip Sarkar, Partha Pakray, Dipankar Das, Alexander Gelbukh. Regression Based Approaches for Detecting and Measuring Textual Similarity. Mining Intelligence and Knowledge Exploration. 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016, Mexico City, Mexico, November 13–19, 2016, Revised Selected Papers. ISBN 978-3-319-58129-3. Lecture Notes in Computer Science, vol. 10089, 2017, pp. 144–152, doi: 10.1007/978-3-319-58130-9_14.
217. Kia Dashtipour, Amir Hussain, Qiang Zhou, Alexander Gelbukh, Ahmad Y. A. Hawalah, Erik Cambria. PerSent: A Freely Available Persian Sentiment Lexicon. International Conference on Brain Inspired Cognitive Systems, BICS 2016. Advances in Brain Inspired Cognitive Systems. ISBN 978-3-319-49684-9, ISSN 0302-9743. Lecture Notes in Computer Science, vol. 10023, 2016, pp. 310–320; doi: 10.1007/978-3-319-49685-6_28.
218. Sofia N. Galicia-Haro, Alexander F. Gelbukh. Assessing Context for Extraction of Near Synonyms from Product Reviews in Spanish. Text, Speech, and Dialogue. 19th International Conference, TSD 2016, Brno, Czech Republic, September 12–16, 2016, Proceedings. ISBN 978-3-319-45509-9, ISSN 0302-9743. Lecture Notes in Computer Science, vol. 9924, 2016, pp. 125–133, doi: 10.1007/978-3-319-45510-5_15.
219. Sofia N. Galicia-Haro, Alonso Palomino Garibay, Jonathan Gallegos-Acosta, Alexander Gelbukh. Analysis of Negation Cues for Semantic Orientation Classification of Reviews in Spanish. 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, ISSN 0302-9743, ISBN 978-3-319-27100-2, ISBN 978-3-319-27101-9. Lecture Notes in Artificial Intelligence, N 9414, 2015, pp. 105–120, doi: 10.1007/978-3-319-27101-9_8.
220. Olga Kolesnikova, Alexander Gelbukh. Measuring Non-compositionality of Verb-Noun Collocations using Lexical Functions and WordNet Hypernyms. 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, ISSN 0302-9743, ISBN 978-3-319-27100-2, ISBN 978-3-319-27101-9. Lecture Notes in Artificial Intelligence, N 9414, 2015, pp. 3–25, doi: 10.1007/978-3-319-27101-9_1.
221. Miguel A. Sanchez-Perez, Alexander Gelbukh, Grigori Sidorov. Adaptive Algorithm for Plagiarism Detection: The Best-Performing Approach at PAN 2014 Text Alignment Competition. Experimental IR Meets Multilinguality, Multimodality, and Interaction. 6th International Conference of the CLEF Association, CLEF’15 Toulouse, France, September 8–11, 2015, Proceedings. Springer, ISSN 0302-9743; ISBN: 978-3-319-24026-8 (Print) 978-3-319-24027-5 (Online). Lecture Notes in Computer Science N 9283, 2015, pp. 402–413. doi: 10.1007/978-3-319-24027-5_42.
222. Hiram Calvo, Alexander Gelbukh. Is the Most Frequent Sense of a Word Better Connected in a Semantic Network? ICIC 2015. D.-S. Huang and K. Han (Eds.) Advanced Intelligent Computing Theories and Applications. Lecture Notes in Computer Science, N 9227, Springer, ISSN 0302-9743; ISBN 978-3-319-22052-9, 2015, pp. 491–499, doi: 10.1007/978-3-319-22053-6_52.
Best paper award.
223. Yulia Ledeneva, René Arnulfo García-Hernández, Alexander Gelbukh. A New Disagreement Measure for Characterization of Classification Problems. In: Advances in Swarm and Computational Intelligence. 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25–28, 2015, Proceedings, Part III. Lecture Notes in Computer Science N 9142, Springer, 2015, ISSN 0302-9743; ISBN 978-3-319-20468-0, pp. 137–144, doi: 10.1007/978-3-319-20469-7_16.
224. Santanu Pal, Partha Pakray, Alexander Gelbukh, Josef van Genabith. Mining Parallel Resources for Machine Translation from Comparable Corpora. In: 16th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015, Cairo, Egypt, April 14–20, 2015, Proceedings, Part I. Lecture Notes in Computer Science N 9041, Springer, 2015 , ISBN 978-3-319-18110-3, pp. 534–544, doi: 10.1007/978-3-319-18111-0_40.
225. Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander Gelbukh, Chng Eng Siong. Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning. In: 16th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2015, Cairo, Egypt, April 14–20, 2015, Proceedings, Part II. Lecture Notes in Computer Science N 9042, Springer, 2015, ISSN 0302-9743, ISBN 978-3-319-18116-5, pp. 49–65, doi: 10.1007/978-3-319-18117-2_4.
226. Partha PakrayAlexander Gelbukh. An Open-Domain Cause-Effect Relation Detection from Paired Nominals. Nature-Inspired Computing and Its Applications (Proceedings of MICAI 2014, Part 2). Lecture Notes in Computer Science, N 8857 , 2014, pp. 263–271; doi: 10.1007/978-3-319-13650-9_24 (LNCS online ).
227. Hiram Calvo, Alexander Gelbukh. Finding the Most Frequent Sense of a Word by the Length of Its Definition. Human-Inspired Computing and Its Applications (Proceedings of MICAI 2014, Part 1). Lecture Notes in Computer Science, N 8856 , 2014, pp. 1–8; doi: 10.1007/978-3-319-13647-9_1 (LNCS online ).
228. Sofía N. Galicia-Haro, Alexander Gelbukh. Extraction of Semantic Relations from Opinion Reviews in Spanish. Human-Inspired Computing and Its Applications (Proceedings of MICAI 2014, Part 1). Lecture Notes in Computer Science, N 8856 , 2014, pp. 175–190; doi: 10.1007/978-3-319-13647-9_18 (LNCS online ).
Soujanya PoriaBasant AgarwalAlexander GelbukhAmir HussainNewton HowardDependency-Based Semantic Parsing for Concept-Level Text Analysis (LNCS online).
Miguel RiosLucia SpeciaAlexander GelbukhRuslan MitkovStatistical Relational Learning to Recognise Textual Entailment (LNCS online).
Marta Ruiz Costa-jussàRafael E. BanchsAlexander GelbukhAn IR-Based Strategy for Supporting Chinese-Portuguese Translation Services in Off-line Mode (LNCS online).
Yulia LedenevaRené Arnulfo García-HernándezAlexander GelbukhGraph Ranking on Maximal Frequent Sequences for Single Extractive Text Summarization (LNCS online).
Soujanya Poria Alexander Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard. Common Sense Knowledge Based Personality Recognition from Text. MICAI 2013. ; doi: 10.1007/978-3-642-45111-9_42 (LNCS online )
Francisco Viveros-Jiménez Alexander Gelbukh, Grigori Sidorov. Simple Window Selection Strategies for the Simplified Lesk Algorithm for Word Sense Disambiguation. MICAI 2013. (LNCS online)
235. Soujanya Poria, Alexander Gelbukh, Amir Hussain, Sivaji Bandyopadhyay, Newton Howard. Music Genre Classification: A Semi-supervised Approach. MCPR 2013. Lecture Notes in Computer Science N 7914, Springer, 2013, pp. 254–263 (LNCS online ).
236. Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh, Liliana Chanona-Hernández. Syntactic Dependency-Based N-grams: More Evidence of Usefulness in Classification. CICLing 2013. Lecture Notes in Computer Science N 7816, Springer, 2013, pp. 13–24 (LNCS online ).
237. Alfredo L. Monroy, Hiram Calvo, Alexander Gelbukh, Georgina G. Pacheco. Link Analysis for Representing and Retrieving Legal Information. CICLing 2013. Lecture Notes in Computer Science N 7816, Springer, 2013, pp. 380–393 (LNCS online ).
Grigori SidorovEfstathios StamatatosAlexander GelbukhSyntactic Dependency-based N-grams as Classification Features (LNCS online )
Partha PakraySoujanya PoriaSivaji BandyopadhyayAlexander GelbukhSMSFR: SMS-Based FAQ Retrieval System (LNCS online )
240. Partha PakraySivaji BandyopadhyayAlexander GelbukhRecognizing Textual Entailment in Non-English Text via Automatic Translation into English (LNCS online )
Grigori SidorovFrancisco Viveros-JiménezAlexander GelbukhEmpirical Study of Machine Learning Based Approach for Opinion Mining in Tweets (LNCS online )
Soujanya PoriaAlexander GelbukhDipankar DasSivaji BandyopadhyayFuzzy Clustering for Semi-Supervised Learning—Case study: Construction of an Emotion Lexicon (LNCS online )
243. Sabino Miranda-Jiménez, Alexander Gelbukh, Grigori Sidorov. Summarizing Conceptual Graphs for Automatic Summarization Task. Conceptual Structures for STEM Research and Education. 20th International Conference on Conceptual Structures, ICCS 2013, Mumbai, India, January 10–12, 2013. Lecture Notes in Computer Science, N 7735, ISSN 0302-9743, ISBN 978-3-642-35785-5, Springer, 2013, pp. 245–253 (LNCS online).
244. Alexander GelbukhAge-Related Temporal Phrases in Spanish and Italian. CICLing 2012, Lecture Notes in Computer Science N 7181, ISSN 0302-9743, Springer, 2012, p. 402–414 (LNCS online).
245. Alexander GelbukhAge-Related Temporal Phrases in Spanish and French. MICAI 2011, Lecture Notes in Artificial Intelligence N 7094, ISSN 0302-9743, Springer, 2011, pp. 370–381 (LNCS online).
246. Yulia Ledeneva, René Arnulfo García Hernández, Romyna Montiel Soto, José Rafael Cruz Reyes, Alexander Gelbukh. EM Clustering Algorithm for Automatic Text Summarization. MICAI 2011, Lecture Notes in Artificial Intelligence N 7094, ISSN 0302-9743, Springer, 2011, pp. 305–315 (LNCS online).
247. Sergio Jimenez Vargas, Alexander Gelbukh. SC spectra: A linear-time soft cardinality approximation for text comparison. MICAI 2011, Lecture Notes in Artificial Intelligence N 7095, ISSN 0302-9743, Springer, 2011, pp. 213–224 (LNCS online).
Best paper award, first place.
248. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. A Statistics-Based Semantic Textual Entailment System. MICAI 2011, Lecture Notes in Artificial Intelligence N 7094, ISSN 0302-9743, Springer, 2011, p. 267–276 (LNCS online).
249. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Answer Validation using Textual Entailment. CICLing 2011, Lecture Notes in Computer Science N 6609, ISSN 0302-9743, Springer, 2011, pp. 359–364 (LNCS online).
250. Hiram Calvo, Joel Omar Juarez Gambino, Alexander Gelbukh, Kentaro Inui. Dependency Syntax Analysis using Grammar Induction and a Lexical Categories Precedence System. CICLing 2011, Lecture Notes in Computer Science N 6608, ISSN 0302-9743, Springer, 2011, pp. 109–120 (LNCS online).
251. Miguel Angel Ríos Gaona, Alexander Gelbukh, Sivaji Bandyopadhyay. Recognizing Textual Entailment Using a Machine Learning Approach. MICAI 2010. Lecture Notes in Artificial Intelligence N 6438, ISSN 0302-9743, Springer, 2010, pp. 177–185 (LNCS online).
252. Alexander Gelbukh, Olga Kolesnikova. Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish. MICAI 2010. Lecture Notes in Artificial Intelligence N 6438, ISSN 0302-9743, Springer, 2010, pp. 196–207 (LNCS online).
Best paper award, first place.
253. Sonia OrdoñezAlexander Gelbukh. Information Retrieval with a Simplified Conceptual Graph-like Representation. MICAI 2010. Lecture Notes in Artificial Intelligence N 6437, ISSN 0302-9743, Springer, 2010, pp. 92–104 (LNCS online).
254. Alberto GarcíaAlexander Gelbukh, Hiram Calvo Music composition based on linguistic approach. MICAI 2010. Lecture Notes in Artificial Intelligence N 6437, ISSN 0302-9743, Springer, 2010, pp. 117–128 (LNCS online).
255. Sergio Jiménez Vargas, Fabio A. González O., Alexander Gelbukh. Text Comparison Using Soft Cardinality. SPIRE 2010, Lecture Notes in Computer Science N 6393, ISSN 0302-9743, ISBN 978-3-642-16320-3, Springer, 2010, pp. 297–302 (LNCS online).
256. Alexander Gelbukh, Olga Kolesnikova. Supervised Learning for Semantic Classification of Spanish Collocations. MCPR 2010. Lecture Notes in Computer Science N 6256, ISSN 0302-9743, Springer, 2010, pp. 362–371 (LNCS online).
257. Miguel Ángel Ríos Gaona, Alexander Gelbukh, Sivaji Bandyopadhyay. Recognizing Textual Entailment with Statistical Methods. MCPR 2010. Lecture Notes in Computer Science N 6256, ISSN 0302-9743, Springer, 2010, pp. 372–381 (LNCS online).
258. Sofía N. Galicia-Haro, Alexander Gelbukh. Extracting Human Spanish Nouns. Petr Sojka, Ales Horák, Ivan Kopecek, Karel Pala (Eds.). Text, Speech and Dialogue, 13th International Conference, TSD 2010, Brno, Czech Republic, September 6–10, 2010. Lecture Notes in Artificial Intelligence, N 6231, Springer, ISBN 978-3-642-15759-2, 2010, pp. 75–83 (LNCS online).
259. Alexander Gelbukh, Grigori Sidorov, Eduardo Lavin-Villa, Liliana Chanona-Hernández. Automatic Term Extraction Using Log-Likelihood Based Comparison with General Reference Corpus. Christina J. Hopfe, Yacine Rezgui, Elisabeth Métais, Alun D. Preece, Haijiang Li (Eds.). Natural Language Processing and Information Systems, 15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010. Cardiff, UK, June 23–25, 2010. Lecture Notes in Computer Science, N 6177, Springer, ISBN 978-3-642-13880-5, 2010. pp. 248–255 (LNCS online).
260. Partha Pakray, Alexander Gelbukh, Sivaji Bandyopadhyay. A Syntactic Textual Entailment System Based on Dependency Parser. CICLing 2010. Lecture Notes in Computer Science N 6008, Springer, 2010, ISSN 0302-9743, ISBN 978-3-642-12115-9, pp. 269–278 (LNCS online).
261. Eduardo Cendejas, Grettel Barceló, Alexander Gelbukh, Grigori Sidorov. Hybrid Algorithm for Word-Level Alignment of Parallel Texts. NLDB 2009. Lecture Notes in Computer Science N 5723, ISSN 0302-9743, ISBN 978-3-642-12549-2, Springer, 2010, p. 293–294 (LNCS online).
262. Francisco Viveros Jiménez, Efrén Mezura Montes, Alexander Gelbukh. Elitistic Evolution: An Efficient Heuristic for Global Optimization. Mikko Kolehmainen, Pekka J. Toivanen, Bartlomiej Beliczynski (Eds.). Adaptive and Natural Computing Algorithms. 9th International Conference, ICANNGA 2009. Kuopio, Finland, April 23–25, 2009. Lecture Notes in Computer Science, N 5495. Springer, ISBN 978-3-642-04920-0, 2009, pp. 171–182 (LNCS online).
263. Sofía N. Galicia-Haro, Alexander Gelbukh. Supervised Recognition of Age-Related Spanish Temporal Phrases. MICAI 2009: Lecture Notes in Artificial Intelligence N 5845, Springer, 2009, ISBN 978-3-642-05257-6, pp. 145–156 (LNCS online).
264. Eduardo Cendejas, Grettel Barceló, Alexander Gelbukh, Grigori Sidorov. Incorporating Linguistic Information to Statistical Word-Level Alignment. CIARP 2009. Lecture Notes in Computer Science, N 5856, Springer, 2009, ISBN 978-3-642-10267-7, pp. 387–394 (LNCS online).
265. Sofía N. Galicia-Haro, Alexander Gelbukh. Assessing Context for Age-Related Spanish Temporal Phrases. 20th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2009, School of Computer Science and Informatics, University College Dublin, 19–21 August, 2009. Lecture Notes in Artificial Intelligence, N 6206, Springer, 2010, pp. 92–102 (LNCS online).
266. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh, Fabio Gonzalez. Generalized Mongue-Elkan Method for Approximate Text String Comparison. CICLing 2009. Lecture Notes in Computer Science N 5449, Springer, 2009, ISBN 978-3-642-00381-3, pp. 559–570 (LNCS online).
267. Alfredo Monroy, Hiram Calvo, Alexander Gelbukh. NLP for Shallow Question Answering of Legal Documents Using Graphs. CICLing 2009. Lecture Notes in Computer Science N 5449, Springer, 2009, ISBN 978-3-642-00381-3, pp. 498–508 (LNCS online).
268. Javier Tejada-Cárcamo, Hiram Calvo, Alexander Gelbukh. Improving Unsupervised WSD with a Dynamic Thesaurus. TSD 2008. Lecture Notes in Artificial Intelligence, N 5246, Springer, 2008, pp. 201–210 (LNCS online).
269. Alexander Gelbukh, Grigori Sidorov, Diego Lara-Reyes, Liliana Chanona-Hernández. Division of Spanish Words into Morphemes with a Genetic Algorithm. NLDB 2008. Lecture Notes in Computer Science N 5039, Springer, 2008, pp. 19–26 (LNCS online).
270. Alfredo Monroy, Hiram Calvo, Alexander Gelbukh. Using Graphs for Shallow Question Answering on Legal Documents. MICAI 2008. Lecture Notes in Artificial Intelligence N 5317, Springer, 2008, ISBN 978-3-540-88635-8, pp. 165–173 (LNCS online).
271. René Arnulfo García-Hernández, Romyna Montiel, Yulia Ledeneva, Eréndira Rendón, Alexander Gelbukh, Rafael Cruz. Text Summarization by Sentence Extraction Using Unsupervised Learning. MICAI 2008. Lecture Notes in Artificial Intelligence N 5317, ISBN 978-3-540-88635-8, Springer, 2008, pp. 133–143 (LNCS online).
272. Igor A. Bolshakov, Elena I. Bolshakova, Alexey P. Kotlyarov, Alexander Gelbukh. Various Criteria of Collocation Cohesion in Internet: Comparison of Resolving Power. CICLing 2008: Lecture Notes in Computer Science, N 4919, Springer 2008, ISBN 978-3-540-78134-9, pp. 64–72 (LNCS online).
273. Yulia Ledeneva, Alexander Gelbukh, René Arnulfo García-Hernández. Terms Derived from Frequent Sequences for Extractive Text Summarization. CICLing 2008: Lecture Notes in Computer Science 4919 Springer 2008, ISBN 978-3-540-78134-9, pp. 593–604 (LNCS online).
274. Igor Bolshakov, Alexander Gelbukh. Distribution-Based Semantic Similarity of Nouns. CIARP-2007. Lecture Notes in Computer Science, N 4756, 2007, p. 704–713 (LNCS online).
275. J. Javier González B., Rodolfo A. Pazos R., Alexander Gelbukh, Grigori Sidorov, Hector Fraire H., I. Cristina Cruz C. Prepositions and Conjunctions in a Natural Language Interfaces to Databases. Frontiers of High Performance Computing and Networking ISPA 2007 Workshops. Lecture Notes in Computer Science, N 4743, 2007, p. 173–182 (LNCS online).
276. M. Jose A. Zarate, Rodolfo A. Pazos R., Alexander Gelbukh, O. Joaquin Perez. Improving the Customization of Natural Language Interface to Databases Using an Ontology. Computational Science and Its Applications – ICCSA 2007. Lecture Notes in Computer Science, N 4705, 2007, p.424–435 (LNCS online).
277. Harri Saarikoski, Steve Legrand, Alexander Gelbukh. Case-Sensitivity of Classifiers for WSD: Complex Systems Disambiguate Tough Words Better. CICLing-2007. Lecture Notes in Computer Science, N 4394, 2007, p. 253–266 (LNCS online).
278. Igor A. Bolshakov, Alexander Gelbukh. Two Methods of Evaluation of Semantic Similarity of Nouns Based on Their Modifier Sets. NLDB-2007. Lecture Notes in Computer Science, N 4592, 2007, p. 414–419 (LNCS online).
279. Alexander Gelbukh, Grigori Sidorov, Liliana Chanona-Hernandez. Lexical-Based Alignment for Reconstruction of Structure in Parallel Texts. NLDB-2007. Lecture Notes in Computer Science, N 4592, 2007, p. 401–406 (LNCS online).
280. Sofia N. Galicia-Haro, Alexander Gelbukh. Web-Based Model for Disambiguation of Prepositional Phrase Usage. MICAI-2007. Lecture Notes in Artificial Intelligence, N4827, 2007, p. 922–932 (LNCS online).
281. Carlos Mario Zapata, Guillermo Gonzalez, Alexander Gelbukh. A Rule-Based System for Assessing Consistency Between UML Models. MICAI-2007. Lecture Notes in Artificial Intelligence, N 4827, 2007, p. 215–224 (LNCS online).
282. Harri Saarikoski, Steve Legrand, A. Gelbukh. Defining Classifier Regions for WSD Ensembles Using Word Space Features. MICAI-2006. Lecture Notes in Artificial Intelligence, N 4139, ISSN 0302-4293, Springer, 2006 (LNCS online).
283. C. Grosan, Ajith Abraham, A. Gelbukh. Evolutionary Method for Nonlinear Systems of Equations. MICAI-2006. Lecture Notes in Artificial Intelligence, N 4139, ISSN 0302-4293, Springer, 2006 (LNCS online).
284. Carlos Mario Zapata Jaramillo, A. Gelbukh, F. Arango Isaza. Pre-conceptual Schema: A Conceptual-Graph-like Knowledge Representation for Requirements Elicitation. MICAI-2006. Lecture Notes in Artificial Intelligence, N 4293, ISSN 0302-9743, Springer, 2006, pp. 17–29 (LNCS online).
285. Alexander Gelbukh, Grigori Sidorov, José Ángel Vera-Félix. A Bilingual Corpus of Novels Aligned at Paragraph Level. In proc. FinTAL-2006. Lecture Notes in Artificial Intelligence, N 4139, ISSN 0302-9743, Springer, 2006, pp. 16–23 (LNCS online).
286. Alexander Gelbukh, Grigori Sidorov, Jose Angel Vera-Felix. Paragraph-Level Alignment of an English-Spanish Parallel Corpus of Fiction Texts Using Bilingual Dictionaries. TSD-2006. Text, Speech and Dialogue. Lecture Notes in Artificial Intelligence, N 4188, ISSN 0302-9743, Springer 2006, pp. 61–67 (LNCS online).
287. NamOh Kang, Alexander Gelbukh, SangYong Han. PPChecker: Plagiarism Pattern Checker in Document Copy Detection. TSD-2006. Lecture Notes in Artificial Intelligence, N 4188, ISSN 0302-9743, Springer 2006, pp. 661–667 (LNCS online).
288. Alexander Gelbukh, Grigori Sidorov. Alignment of Paragraphs in Bilingual Texts using Bilingual Dictionaries and Dynamic Programming. In: Proc. CIARP-2006, Lecture Notes in Computer Science, N 4225, Springer 2006, p. 824–833 (LNCS online).
289. Hiram Calvo, Alexander Gelbukh. DILUCT: An Open-Source Spanish Dependency Parser Based on Rules, Heuristics, and Selectional Preferences. In: Christian Kop, Günther Fliedl, Heinrich C. Mayr, Elisabeth Métais (eds.). Natural Language Processing and Information Systems. 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Klagenfurt, Austria, May/June 2006. Lecture Notes in Computer Science, N 3999, Springer, 2006, ISSN 0302-9743, ISBN 3-540-34616-3, pp. 164–175; doi: 10.1007/11765448_15.
290. Pavel Makagonov, Alejandro Ruiz Figueroa, Alexander Gelbukh. Studying Evolution of a Branch of Knowledge by Constructing and Analyzing Its Ontology. In: Christian Kop, Günther Fliedl, Heinrich C. Mayr, Elisabeth Métais (eds.). Natural Language Processing and Information Systems. 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Klagenfurt, Austria, May/June 2006. Lecture Notes in Computer Science, N 3999, Springer, 2006, ISSN 0302-9743, ISBN 3-540-34616-3, pp. 37–45 (LNCS online).
291. Alexander Gelbukh, Grigori Sidorov, Sangyong Han, L. Chanona-Hernandez. Automatic Evaluation of Quality of an Explanatory Dictionary by Comparison of Word Senses. M. Broy, A. V. Zamulin (Eds.). Perspectives of Systems Informatics, 5th International Andrei Ershov Memorial Conference, PSI 2003, Akademgorodok, Novosibirsk, Russia, July 9–12, 2003, Revised Papers. Lecture Notes in Computer Science, N 2890, Springer, 2003, ISSN 0302-9743, ISBN 3-540-20813-5, pp. 556–562 (LNCS online).
Also available in the volume of Preliminary Proceedings of PSI 2003, pp. 346–349.
292. Hiram Calvo, Alexander Gelbukh. Improving Prepositional Phrase Attachment Disambiguation Using the Web as Corpus. A. Sanfeliu, J. Ruiz-Shulcloper (Eds.). Progress in Pattern Recognition, Speech and Image Analysis (8th Iberoamerican Congress on Pattren Recognition, CIARP 2003, Habana, Cuba). Lecture Notes in Computer Science, N 2905, ISSN 0302-9743, ISBN 3-540-20590-X, Springer, 2003, pp. 604–610 (LNCS online).
293. Igor A. Bolshakov, Sofía N. Galicia-Haro, Alexander Gelbukh. Stable Coordinated Pairs in Text Processing. Václav Matousek, Pavel Mautner (Eds.) Text, Speech and Dialogue (TSD-2003: 6th International Conference), Ceske Budejovice, Czech Republic, September, 2003. Lecture Notes in Artificial Intelligence, N 2807, ISSN 0302-9743, ISBN 3-540-20024-X, Springer, 2003, pp. 27–34 (LNCS online).
294. Alexander Gelbukh, Serguei Levachkine, Sang-Yong Han. Resolving Ambiguities in Toponym Recognition in Cartographic Maps. In: Josep Lladós, Young-Bin Kwon, Graphics Recognition: Recent Advances and Perspectives, 5th International Workshop, GREC 2003, Barcelona, Spain, July 30–31, 2003, Revised Selected Papers. Lecture Notes in Computer Science, N 3088, ISSN 0302-9743, ISBN 3-540-22478-5, Springer, 2004, pp. 75–86 (LNCS online).
295. Antonio Zárate, Rodolfo Pazos, Alexander Gelbukh, Isabel Padrón. A Portable Natural Language Interface for Diverse Databases Using Ontologies. In: Computational Linguistics and Intelligent Text Processing (CICLing-2003, Mexico City). Lecture Notes in Computer Science, N 2588, ISSN 0302-9743, ISBN 3-540-00532-3, Springer, pp. 494–505 (LNCS online).
296. Yoel Ledo Mezquita, Grigori Sidorov, Alexander Gelbukh. Tool for Computer-Aided Spanish Word Sense Disambiguation. In: Computational Linguistics and Intelligent Text Processing (CICLing-2003, Mexico City). Lecture Notes in Computer Science, N 2588, ISSN 0302-9743, ISBN 3-540-00532-3, Springer, pp. 277–280 (LNCS online).
297. Alexander Gelbukh and Grigori Sidorov. Approach to construction of automatic morphological analysis systems for inflective languages with little effort. In: Computational Linguistics and Intelligent Text Processing (CICLing-2003, Mexico City). Lecture Notes in Computer Science, N 2588, ISSN 0302-9743, ISBN 3-540-00532-3, Springer, pp. 215–220 (LNCS online).
298. Rodolfo A. Pazos R., Alexander Gelbukh, J. Javier González B., Erika Alarcón R., Alejandro Mendoza M., A. Patricia Domínguez S. Spanish Natural Language Interface for a Relational Database Querying System. TSD-2002: 5th International Workshop on Text, Speech and Dialogue, Brno, Czech Republic, September 9–12, 2002. Lecture Notes in Artificial Intelligence, N 2448, ISSN 0302-9743, ISBN 3-540-44129-8, Springer, pp. 123–130 (LNCS online).
299. M. Montes-y-Gómez, A. Gelbukh, A. López-López. Detecting deviations in text collections: An approach using conceptual graphs. Proc. MICAI-2002: Mexican International Conference on Artificial Intelligence, April 2002, Merida, Mexico. Lecture Notes in Artificial Intelligence N 2313, ISSN 0302-9743, ISBN 3-540-43475-5, Springer, pp. 176–184 (LNCS online).
300. Manuel Montes-y-Gómez, Alexander F. Gelbukh, Aurelio López-López. Text Mining at Detail Level Using Conceptual Graphs. In: Uta Priss, Dan Corbett, Galia Angelova (Eds.): Conceptual Structures: Integration and Interfaces, 10th International Conference on Conceptual Structures, ICCS 2002, Borovets, Bulgaria, July 15–19, 2002. Lecture Notes in Artificial Intelligence, N 2393, Springer, 2002, ISSN 0302-9743, ISBN 3-540-43901-3, pp. 122–136 (LNCS online).
301. Alexander Gelbukh, Grigori Sidorov, A. Guzmán-Arenas. Relational Data Model in Document Hierarchical Indexing. In: E. Ranchhold, N. J. Mamede (Eds.) Advances in Natural Language Processing (PorTAL-2002: Portugal for Natural Language Processing, Faro, Portugal, June 23–26, 2002). Lecture Notes in Artificial Intelligence, N 2389, ISSN 0302-9743, ISBN 3-540-66494-7, Springer, pp. 259–262 (LNCS online).
302. I.A. Bolshakov, A. Gelbukh. Heuristics-Based Replenishment of Collocation Databases. In: E. Ranchhold, N. J. Mamede (Eds.) Advances in Natural Language Processing (PorTAL-2002: Portugal for Natural Language Processing, Faro, Portugal, June 23–26, 2002). Lecture Notes in Artificial Intelligence, N 2389, ISSN 0302-9743, ISBN 3-540-66494-7, Springer, pp. 25–32 (LNCS online).
Reprinted as:
▪ I.A. Bolshakov, A. Gelbukh. Heuristics-based replenishment of collocation databases. Technical report, Serie Azul, N 138, April 2002. CIC, IPN, ISBN 970-18-7974-0, 8 pp.
303. Igor A. Bolshakov and Alexander F. Gelbukh. Text segmentation into paragraphs based on local text cohesion. Proc. TSD-2001: Forth International Workshop on Text, Speech and Dialogue, Plzen (Pilsen), Czech Republic, September 10–13, 2001. Lecture Notes in Artificial Intelligence N 2166, ISSN 0302-9743, ISBN 3-540-4255-7, Springer, pp. 158–166 (LNCS online).
Reprinted as:
▪ Igor A. Bolshakov and Alexander F. Gelbukh. Text segmentation into paragraphs based on local text cohesion. Technical report, Serie Azul, N 98, June 2001. CIC, IPN, ISBN 970-18-6972-9, 9 pp.
304. Rodolfo A. Pazos Rangel, Joaquín Pérez O., Juan Javier González B., Alexander Gelbukh, Grigori Sidorov, Myriam J. Rodríguez M. A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries. MICAI 2005: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, N 3789, ISSN 0302-9743, ISBN 3-540-29896-7, Springer, 2005, pp. 833–842 (LNCS online).
JCR impact factor 2005: 0. 302.
305. Sofía N. Galicia-Haro, Alexander Gelbukh. Towards the Automatic Learning of Idiomatic Prepositional Phrases. MICAI 2005: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, N 3789, ISSN 0302-9743, ISBN 3-540-29896-7, Springer, 2005, pp. 780–789 (LNCS online).
JCR impact factor 2005: 0. 302.
306. Ajith Abraham, Crina Grosan, Sang Yong Han, Alexander Gelbukh. Evolutionary Multiobjective Optimization Approach for Evolving Ensemble of Intelligent Paradigms for Stock Market Modeling. MICAI 2005: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, N 3789, ISSN 0302-9743, ISBN 3-540-29896-7, Springer, 2005, pp. 673–681 (LNCS online).
JCR impact factor 2005: 0. 302.
307. Crina Grosan, Ajith Abraham, Sangyong Han, Alexander Gelbukh. Hybrid Particle Swarm – Evolutionary Algorithm for Search and Optimization. MICAI 2005: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, N 3789, ISSN 0302-9743, ISBN 3-540-29896-7, Springer, 2005, pp. 623–632 (LNCS online).
JCR impact factor 2005: 0. 302.
308. Igor A. Bolshakov, Sofia N. Galicia-Haro, Alexander Gelbukh. Detection and Correction of Malapropisms in Spanish by means of Internet Search. 8th International Conference Text, Speech and Dialogue (TSD-2005), Karlovy Vary, Czech Rep. Lecture Notes in Artificial Intelligence, N 3658, ISSN 0302-9743, ISBN 3-540-28789-2, Springer, 2005, pp. 115–122 (LNCS online).
JCR impact factor 2005: 0. 302.
309. Mikhail Alexandrov, Alexander Gelbukh, Paolo Rosso. An Approach to Clustering Abstracts. A. Montoyo et al. (Eds.) Natural Language Processing and Information Systems. 10th International Conference on Applications of Natural Languages to Information Systems, NLDB-2005, Alicante, Spain, 2005. Lecture Notes in Computer Science, N 3513, ISSN 0302-9743, ISBN , Springer, 2005, pp. 275–285 (LNCS online).
JCR impact factor 2005: 0.402.
310. Alexander Gelbukh, Grigori Sidorov, SangYong Han. On Some Optimization Heuristics for Lesk-Like WSD Algorithms. A. Montoyo et al. (Eds.) Natural Language Processing and Information Systems. 10th International Conference on Applications of Natural Languages to Information Systems, NLDB-2005, Alicante, Spain, 2005. Lecture Notes in Computer Science, N 3513, ISSN 0302-9743, ISBN , Springer, 2005, pp. 402–405 (LNCS online).
JCR impact factor 2005: 0.402.
311. Alexander Gelbukh, NamO Kang, SangYong Han. Combining Sources of Evidence for Recognition of Relevant Passages in Texts. 5th International Symposium and School on Advance Distributed Systems (ISSADS-2005), Mexico. Lecture Notes in Computer Science, N 3563, Springer, ISSN 0302-9743, ISBN 3-540-28063-4, 2005, pp. 283–290 (LNCS online).
JCR impact factor 2005: 0.402.
312. Alexander Gelbukh, NamO Kang, SangYong Han. Experiment on Combining Sources of Evidence for Passage Retrieval. Computational Linguistics and Intelligent Text Processing (CICLing-2005), Lecture Notes in Computer Science, N 3406, Springer, 2005, ISSN 0302-9743, ISBN 3-540-24523-5, pp. 628–631 (LNCS online).
JCR impact factor 2005: 0.402.
313. Sofía N. Galicia-Haro, Alexander Gelbukh. Unsupervised Learning of P NP P Word Combinations. Computational Linguistics and Intelligent Text Processing (CICLing-2005), Lecture Notes in Computer Science, N 3406, Springer, 2005, ISSN 0302-9743, ISBN 3-540-24523-5, pp. 337–340 (LNCS online).
JCR impact factor 2005: 0.402.
314. Hiram Calvo, Alexander Gelbukh, Adam Kilgarriff. Distributional Thesaurus vs. WordNet: A Comparison of Backoff Techniques for Unsupervised PP Attachment. Computational Linguistics and Intelligent Text Processing (CICLing-2005), Lecture Notes in Computer Science, N 3406, Springer, 2005, ISSN 0302-9743, ISBN 3-540-24523-5, pp. 177–188 (LNCS online).
JCR impact factor 2005: 0.402.
315. Hiram Calvo, Alexander Gelbukh. Unsupervised Learning of Ontology-Linked Selectional Preferences. In: A. Sanfeliu, J. F. Martínez Trinidad, J. A. Carrasco Ochoa (Eds.) Progress in Pattern Recognition, Image Analysis and Applications. 9th Iberoamerican Congress on Pattern Recognition, CIARP 2004, Puebla, Mexico, October 2004. Proceedings. Lecture Notes in Computer Science, N 3287, Springer, 2004, ISSN 0302-9743, ISBN 3-540-23527-2, p. 418–424 (LNCS online).
JCR impact factor 2004: 0.513.
316. Kwangcheol Shin, Sang-Yong Han, Alexander Gelbukh, Jaehwa Park. Advanced Relevance Feedback Query Expansion Strategy for Information Retrieval in MEDLINE. In: A. Sanfeliu, J. F. Martínez Trinidad, J. A. Carrasco Ochoa (Eds.) Progress in Pattern Recognition, Image Analysis and Applications. 9th Iberoamerican Congress on Pattern Recognition, CIARP 2004, Puebla, Mexico, October 2004. Proceedings. Lecture Notes in Computer Science, N 3287, Springer, 2004, ISSN 0302-9743, ISBN 3-540-23527-2, p. 425–431 (LNCS online).
JCR impact factor 2004: 0.513.
317. Alexander Gelbukh, Mikhail Alexandrov, SangYong Han. Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model. In: A. Sanfeliu, J. F. Martínez Trinidad, J. A. Carrasco Ochoa (Eds.) Progress in Pattern Recognition, Image Analysis and Applications. 9th Iberoamerican Congress on Pattern Recognition, CIARP 2004, Puebla, Mexico, October 2004. Proceedings. Lecture Notes in Computer Science, N 3287, Springer, 2004, ISSN 0302-9743, ISBN 3-540-23527-2, p. 432–438 (LNCS online).
JCR impact factor 2004: 0.513.
318. Kwangcheol Shin, Sang-Yong Han, Alexander Gelbukh. Balancing Manual and Automatic Indexing for Retrieval of Paper Abstracts. TSD-2004: 7th International Workshop on Text, Speech and Dialogue, Brno, Czech Republic, September, 2004. Lecture Notes in Artificial Intelligence, N 3206, ISSN 0302-9743, ISBN 3-540-23049-1, Springer, pp. 203–210 (LNCS online).
JCR impact factor 2004: 0.251.
319. Pavel Makagonov, Mikhail Alexandrov, Alexander Gelbukh. Clustering Abstracts instead of Full Texts. TSD-2004: 7th International Workshop on Text, Speech and Dialogue, Brno, Czech Republic, September, 2004. Lecture Notes in Artificial Intelligence, N 3206, ISSN 0302-9743, ISBN 3-540-23049-1, Springer, 2004, pp. 129–135 (LNCS online).
JCR impact factor 2004: 0.251.
320. Sofía N. Galicia-Haro, Alexander Gelbukh, Igor A. Bolshakov. Identification of Composite Named Entities in a Spanish Textual Database. In: F. Meziane; E. Metais (Eds.). Natural Language Processing and Information Systems. 9th International Conference on Applications of Natural Languages to Information Systems, NLDB-2004, Salford, UK, June 23–25, 2004. Lecture Notes in Computer Science, N 3136, ISSN 0302-9743, ISBN 3-540-22564-1, Springer, 2004, pp. 395–400 (LNCS online).
JCR impact factor 2004: 0.513.
321. Hiram Calvo, Alexander Gelbukh. Acquiring Selectional Preferences from Untagged Text for Prepositional Phrase Attachment Disambiguation. In: F. Meziane; E. Metais (Eds.). Natural Language Processing and Information Systems. 9th International Conference on Applications of Natural Languages to Information Systems, NLDB-2004, Salford, UK, June 23–25, 2004. Lecture Notes in Computer Science, N 3136, ISSN 0302-9743, ISBN 3-540-22564-1, Springer, 2004, pp. 207–216 (LNCS online).
JCR impact factor 2004: 0.513.
322. Igor A. Bolshakov, Alexander Gelbukh. Synonymous Paraphrasing Using WordNet and Internet. In: F. Meziane; E. Metais (Eds.). Natural Language Processing and Information Systems. 9th International Conference on Applications of Natural Languages to Information Systems, NLDB-2004, Salford, UK, June 23–25, 2004. Lecture Notes in Computer Science, N 3136, ISSN 0302-9743, ISBN 3-540-22564-1, Springer, 2004, pp. 312–323 (LNCS online).
JCR impact factor 2004: 0.513.
Note: This paper is indexed in ISI JCR as Gelbukb, by their error.
323. Sofia N. Galicia-Haro, A. F. Gelbukh, I. A. Bolshakov. Web-Based Sources for an Annotated Corpus Building and Composite Proper Name Identification. Jesus Favela, Ernestina Menasalvas, Edgar Chávez (Eds.) Advances in Web Intelligence (AWIC-2004, Atlantic Web Intelligence Conference, May 16–19, 2004, Cancún, Mexico). Lecture Notes in Artificial Intelligence, N 3034, Springer, 2004, ISSN 0302-9743, ISBN 3-540-22009-7, pp. 115–124 (LNCS online).
JCR impact factor 2004: 0.251.
324. Alexander Gelbukh, Igor Bolshakov. On Correction of Semantic Errors in Natural Language Texts with a Dictionary of Literal Paronyms. Jesus Favela, Ernestina Menasalvas, Edgar Chávez (Eds.) Advances in Web Intelligence (AWIC-2004, 2nd International Atlantic Web Intelligence Conference, May 16–19, 2004, Cancun, Mexico). Lecture Notes in Artificial Intelligence, N 3034, Springer, 2004, ISSN 0302-9743, ISBN 3-540-22009-7, pp. 105–114 (LNCS online).
JCR impact factor 2004: 0.251.
325. Hiram Calvo, Alexander Gelbukh. Extracting semantic categories of nouns for syntactic disambiguation from human-oriented explanatory dictionaries. Computational Linguistics and Intelligent Text Processing (CICLing-2004), Lecture Notes in Computer Science, N 2945, Springer, 2004, ISSN 0302-9743, ISBN 3-540-21006-7, pp. 254–257 (LNCS online).
JCR impact factor 2004: 0.513.
326. Alexander Gelbukh, Grigori Sidorov, Sang Yong Han, Erika Hernandez-Rubio. Automatic syntactic analysis for detection of word combinations. Computational Linguistics and Intelligent Text Processing (CICLing-2004), Lecture Notes in Computer Science, N 2945, Springer, 2004, ISSN 0302-9743, ISBN 3-540-21006-7, pp. 240–244 (LNCS online).
JCR impact factor 2004: 0.513.
327. Alexander Gelbukh, Grigori Sidorov, Sang Yong Han, Erika Hernandez-Rubio. Automatic Enrichment of a Very Large Dictionary of Word Combinations on the Basis of Dependency Formalism. Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar, Humberto Sossa (Eds.). MICAI-2004, Mexican International Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, N 2972, Springer, 2004, ISSN 0302-9743, ISBN 3-540-21459-3, pp. 430–437 (LNCS online).
JCR impact factor 2004: 0.251.
328. Sofia N. Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Recognition of Named Entities in Spanish Texts. Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar, Humberto Sossa (Eds.). MICAI-2004, Mexican International Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, N 2972, Springer, 2004, ISSN 0302-9743, ISBN 3-540-21459-3, pp. 420–429 (LNCS online).
JCR impact factor 2004: 0.251.
329. Kwangcheol Shin, Sang Yong Han, Alexander Gelbukh. Advanced Clustering Technique for Medical Data Using Semantic Information. Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar, Humberto Sossa (Eds.). MICAI-2004, Mexican International Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, N 2972, Springer, 2004, ISSN 0302-9743, ISBN 3-540-21459-3, pp. 322–331 (LNCS online).
JCR impact factor 2004: 0.251.
330. I.A. Bolshakov, A. Gelbukh. On Semantic Classification of Modifiers. In: B. Andersson, M. Bergholtz, P. Johannesson (Eds.) Proc. NLDB-2002, 7th International Workshop on Applications of Natural Language to Information Systems, Stockholm, Sweden, June 27–38, 2002. Lecture Notes in Computer Science, N 2553, ISSN 0302-9743, ISBN 3-540-00307-X, Springer, pp. 172–182 (LNCS online).
JCR impact factor 2002: 0.515.
331. Alexander Gelbukh and Grigori Sidorov. Automatic Selection of Defining Vocabulary in an Explanatory Dictionary. Proc. CICLing-2002, 3rd International Conference on Intelligent Text Processing and Computational Linguistics, February 17–23, 2002, Mexico City. Lecture Notes in Computer Science, N 2276, ISSN 0302-9743, ISBN 3-540-43219-1, Springer, pp. 300–303 (LNCS online).
JCR impact factor 2002: 0.515.
332. Alexander Gelbukh, Grigori Sidorov, L. Chanona-Hernández. Compilation of a Spanish representative corpus. Proc. CICLing-2002, 3rd International Conference on Intelligent Text Processing and Computational Linguistics, February 17–23, 2002, Mexico City. Lecture Notes in Computer Science, N 2276, ISSN 0302-9743, ISBN 3-540-43219-1, Springer, pp. 285–288 (LNCS online).
JCR impact factor 2002: 0.515.
333. Igor A. Bolshakov, Sofía N. Galicia-Haro, Alexander Gelbukh. Quantitative comparison of homonymy in Spanish EuroWordNet and traditional dictionaries. Proc. CICLing-2002, 3rd International Conference on Intelligent Text Processing and Computational Linguistics, February 17–23, 2002, Mexico City. Lecture Notes in Computer Science, N 2276, ISSN 0302-9743, ISBN 3-540-43219-1, Springer, pp. 280–284 (LNCS online).
JCR impact factor 2002: 0.515.
334. Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López, Ricardo Baeza-Yates. Flexible Comparison of Conceptual Graphs. Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (Eds.), Proc. DEXA-2001, 12th International Conference and Workshop on Database and Expert Systems Applications, Munich, Germany, September 3–7, 2001. Lecture Notes in Computer Science N 2113, ISSN 0302-9743, ISBN 3-540-42527-6, Springer, pp. 102–111 (LNCS online).
JCR impact factor 2001: 0.415.
Reprinted as:
▪ Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López, Ricardo Baeza-Yates. Flexible Comparison of Conceptual Graphs. Technical report, Serie Azul, N 102, June 2001. CIC, IPN, ISBN 970-18-6976-1, 11 pp.
335. Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López. A statistical approach to the discovery of ephemeral associations among news topics. Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (Eds.), Proc. DEXA-2001, 12th International Conference and Workshop on Database and Expert Systems Applications, Munich, Germany, September 3–7, 2001. Lecture Notes in Computer Science N 2113, ISSN 0302-9743, ISBN 3-540-42527-6, Springer, pp. 491–500 (LNCS online).
JCR impact factor 2001: 0.415.
▪ Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López. A statistical approach to the discovery of ephemeral associations among news topics. Technical report, Serie Azul, N 103, June 2001. CIC, IPN, ISBN 970-18-6977-X, 11 pp.
336. Manuel Montes-y-Gómez, Aurelio López López, Alexander Gelbukh. Finding Correlative Associations among News Topics. Proc. 2nd International CICLing-2001, Conference on Intelligent Text Processing and Computational Linguistics, February 18–24, 2001, Mexico City. Lecture Notes in Computer Science, N 2004, ISSN 0302-9743, ISBN 3-540-41687-0, Springer, pp. 521–522 (LNCS online).
JCR impact factor 2001: 0.415.
337. Mikhail Alexandrov, Alexander Gelbukh, George Lozovoi. Chi-square Classifier for Document Categorization. Proc. CICLing-2001, 2nd International Conference on Intelligent Text Processing and Computational Linguistics, February 18–24, 2001, Mexico City. Lecture Notes in Computer Science, N 2004, ISSN 0302-9743, ISBN 3-540-41687-0, Springer, pp. 455–457 (LNCS online).
JCR impact factor 2001: 0.415.
338. Alexander Gelbukh, Grigori Sidorov. Zipf and Heaps Laws’ Coefficients Depend on Language. Proc. CICLing-2001, 2nd International Conference on Intelligent Text Processing and Computational Linguistics, February 18–24, 2001, Mexico City. Lecture Notes in Computer Science, N 2004, ISSN 0302-9743, ISBN 3-540-41687-0, Springer, pp. 332–335 (LNCS online).
JCR impact factor 2001: 0.415.
339. Sofía N. Galicia-Haro, Alexander F. Gelbukh, Igor A. Bolshakov. Three Mechanisms of Parser Driving for Structure Disambiguation. Proc. CICLing-2001, 2nd International Conference on Intelligent Text Processing and Computational Linguistics, February 18–24, 2001, Mexico City. Lecture Notes in Computer Science, N 2004, ISSN 0302-9743, ISBN 3-540-41687-0, Springer, pp. 190–192 (LNCS online).
JCR impact factor 2001: 0.415.
340. Manuel Montes-y-Gómez, Aurelio López-López, Alexander Gelbukh. Information Retrieval with Conceptual Graph Matching. Proc. DEXA-2000, 11th International Conference and Workshop on Database and Expert Systems Applications, Greenwich, England, September 4–8, 2000. Lecture Notes in Computer Science, N 1873, ISSN 0302-9743, ISBN 3-540-67978-2, Springer, pp. 312–321 (LNCS online).
JCR impact factor 2000: 0.390.
Revised version:
▪ Manuel Montes y Gómez, Aurelio López López, Alexander Gelbukh. Information retrieval with conceptual graph matching. Technical report, Serie Azul, N 78, August 2000. CIC, IPN, ISBN 970-18-5430-6, 10 pp.
341. Alexander Gelbukh. Lazy Query Enrichment: A Method for Indexing Large Specialized Document Bases with Morphology and Concept Hierarchy. Proc. DEXA-2000, 11th International Conference and Workshop on Database and Expert Systems Applications, Greenwich, England, September 4–8, 2000. Lecture Notes in Computer Science, N 1873, ISSN 0302-9743, ISBN 3-540-67978-2, Springer, pp. 526–535 (LNCS online).
JCR impact factor 2000: 0.390.
Extended version:
▪ Alexander F. Gelbukh. Lazy query enrichment: a method for indexing large specialized document bases with morphology and concept hierarchy. Technical report, Serie Azul, N 74, August 2000. CIC, IPN, ISBN 970-18-5426-8, 10 pp.
342. Alexander Gelbukh, Grigori Sidorov, Igor A. Bolshakov. Dictionary-based Method for Coherence Maintenance in Man-Machine Dialogue with Indirect Antecedents and Ellipses. Proc. TSD-2000: Third International Workshop on Text, Speech and Dialogue, Brno, Czech Republic, September 13–16, 2000. Lecture Notes in Artificial Intelligence, N 1902, ISSN 0302-9743, ISBN 3-540-41042-2, Springer, pp. 357–362 (LNCS online).
JCR impact factor 2000: 0.253.
Revised version:
▪ Alexander F. Gelbukh, Grigori Sidorov, Igor Bolshakov. Dictionary-based method for coherence maintenance in human-machine dialogue with indirect antecedents and ellipses. Technical report, Serie Azul, N 77, August 2000. CIC, IPN, ISBN 970-18-5492-2, 6 pp.
343. I.A. Bolshakov, A. Gelbukh. A Very Large Database of Collocations and Semantic Links. Proc. NLDB'2000: 5th International Conference on Applications of Natural Language to Information Systems, Versailles, France, June 28–30, 2000. Mokrane Bouzeghoub et al. (eds.) Natural Language Processing and Information Systems. Lecture Notes in Computer Science N 1959, ISSN 0302-9743, Springer, 2001, pp. 103–114 (LNCS online).
JCR impact factor 2000: 0.390.
344. Manuel Montes-y-Gómez, Alexander Gelbukh, Aurelio López-López. Comparison of Conceptual Graphs. Proc. MICAI-2000, 1st Mexican International Conference on Artificial Intelligence, Acapulco, Mexico, April 2000. In: O. Cairo, L.E. Sucar, F.J. Cantu (eds.) MICAI 2000: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, N 1793, ISSN 0302-9743, ISBN 3-540-67354-7, Springer, pp. 548–556 (LNCS online).
JCR impact factor 2000: 0.253.
345. Manuel Montes-y-Gomez, Aurelio López López, Alexander F. Gelbukh. Document Title Patterns in Information Retrieval. In Václav Matoušek et al. (Eds.). Text, Speech and Dialogue. Proc. 2nd International Workshop TSD-99, Plzen, Czech Republic, September 13–17, 1999. Lecture Notes in Artificial Intelligence, N 1692, ISSN 0302-9743, ISBN 3-540-66494-7, Springer, pp. 364–367 (LNCS online).
JCR impact factor 1999: 0.530.
▪ Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López-López. Information Retrieval with the Extra-Topical Information Extracted from Document Titles. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 147–152.
346. Sofia Natalia Galicia-Haro, Igor A. Bolshakov, Alexander F. Gelbukh. A Simple Spanish Part of Speech Tagger for Detection and Correction of Accentuation Error. In Václav Matoušek et al. (Eds.). Text, Speech and Dialogue. Proc. 2nd International Workshop TSD-99, Plzen, Czech Republic, September 13–17, 1999. Lecture Notes in Artificial Intelligence, N 1692, ISSN 0302-9743, ISBN 3-540-66494-7, Springer, pp. 215–218 (LNCS online).
JCR impact factor 1999: 0.530.
Revised version:
▪ Alexander F. Gelbukh, Igor A. Bolshakov, Sofia N. Galicia-Haro. Correcting Some Spanish Accentuation Errors by means of Context Noun Group Detection. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 53–59.
347. Igor A. Bolshakov, Alexander F. Gelbukh, Sofia N. Galicia-Haro. Electronic Dictionaries: for both Humans and Computers. In Václav Matoušek et al. (Eds.). Text, Speech and Dialogue. Proc. 2nd International Workshop TSD-99, Plzen, Czech Republic, September 13–17, 1999. Lecture Notes in Artificial Intelligence, N 1692, ISSN 0302-9743, ISBN 3-540-66494-7, Springer, pp. 358–361 (LNCS online).
JCR impact factor 1999: 0.530.
▪ Igor A. Bolshakov, Alexander F. Gelbukh, Sofia N. Galicia-Haro. How to Improve the Electronic Dictionaries. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 27–31.
348. A. Gelbukh, G. Sidorov, A. Guzman-Arenas. Use of a weighted topic hierarchy for document classification. In Václav Matoušek et al. (Eds.). Text, Speech and Dialogue. Proc. 2nd International Workshop TSD-99, Plzen, Czech Republic, September 13–17, 1999. Lecture Notes in Artificial Intelligence, N 1692, ISSN 0302-9743, ISBN 3-540-66494-7, Springer, pp. 130–135 (LNCS online).
JCR impact factor 1999: 0.530.
349. Alexander Gelbukh. Sentiment analysis and opinion mining: Keynote address. The 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2017, ISBN 978-1-5090-3012-5, IEEE, 2017, pp. 41–47.
350. Jereemi Bentham, Partha Pakray, Goutam Majumder, Sunday Lalbiaknia, Alexander Gelbukh. Identification of Rules for Recognition of Named Entity Classes in Mizo Language. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016. IEEE CS, ISBN 978-1-5386-7735-3, 2016, pp. 8–13; doi: 10.1109/MICAI-2016.2016.00010.
351. Sandeep Kumar Dash, Partha Pakray, Alexander Gelbukh. Representing action structure through Semantic Roles of physiotherapy instructions. The 20th International Conference on Asian Language Processing (IALP 2016), Tainan, Taiwan, 21–23 November 2016. IEEE, pp. 87-90, doi: 10.1109/IALP.2016.7875941.
352. Partha Pakray, Arunangshu Pal, Goutam Majumder, Alexander Gelbukh. Resource Building and Parts-of-Speech (POS) Tagging for the Mizo Language. 14th Mexican International Conference on Artificial Intelligence, MICAI 2015. IEEE CS, ISBN 978-1-5090-0323-5, 2016, pp. 3–7.
353. Alexander Gelbukh. Natural language processing: Perspective of CIC-IPN. Keynote address. International Conference on Advances in Computing, Communications and Informatics (ICACCI 2013), ISBN 978-1-4673-6217-7, IEEE Conference Publications, 2013, pp. 2112–2121, DOI: 10.1109/ICACCI.2013.6637507. (Note: in press, the title was misspelled as “Natutal language processing: Perspective of CIC-IPN”.)
354. Soujanya Poria, Alexander Gelbukh, Erik Cambria, Peipei Yang, Amir Hussain, Tariq Durrani. Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. 2012 IEEE 11th International Conference on Signal Processing (ICSP), IEEE ICSP 2012. Beijing, October 21–25, 2012. Vol. 2, pp. 1251–1255; doi: 10.1109/ICoSP.2012.6491803.
355. Soujanya Poria, Alexander Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay. Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering. Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction, SENTIRE 2012. 2012 IEEE 12th International Conference on Data Mining Workshops (ICDMW), December 10, 2012, Brussels, Belgium. IEEE CS Press, 2012, ISBN 978-0-7695-4925-5, pp. 709–716; doi: 10.1109/ICDMW.2012.142.
356. Miguel Rios, Alexander Gelbukh. Recognizing Textual Entailment with a Semantic Edit Distance Metric. 2012 11th Mexican International Conference on Artificial Intelligence (MICAI), IEEE CS Press, 2012, ISBN 978-0-7695-4904-0, doi: 10.1109/MICAI.2012.29, pp. 15–20.
357. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Dependency Parser Based Textual Entailment System. Proc. of the 2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI'10, October 23–24, 2010, Sanya, China, IEEE CS Press, 2010, ISBN 978-1-4244-8432-4, Vol. 1, p. 393–397.#
358. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Textual Entailment and anaphora resolution. 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, Chengdu, China, August 20–22, 2010, IEEE CS Press, 2010, ISSN 2154-7491, ISBN 978-1-4244-6539-2, Volume 6, 334–336.
359. Partha Pakray, Santanu Pal, Sivaji Bandyopadhyay, Alexander Gelbukh. Automatic Answer Validation System on English language. 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, Chengdu, China, August 20–22, 2010, IEEE CS Press, 2010, ISSN 2154-7491, ISBN 978-1-4244-6539-2, Volume 6, p. 329–333.
360. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. A hybrid textual entailment system using lexical and syntactic features. 9th IEEE International Conference on Cognitive Informatics, ICCI 2010, Beijing, July 7–9 2010, IEEE CS Press, 2010, ISBN 978-1-4244-8041-8, p. 291–296.
361. José Antonio Zárate Marceleño, Rodolfo A. Pazos R., Alexander Gelbukh. Customization of Natural Language Interfaces to Databases: Beyond Domain Portability. 10th Mexican International Conference on Computer Science, ENC 2009, 21–25 September 2009, Mexico City, Mexico, IEEE CS Press, 2009, ISBN 978-0-7695-3882-7, p. 373–378.
362. René Arnulfo García-Hernández, Yulia Ledeneva, Griselda Matías Mendoza, Ángel Hernández Dominguez, Jorge Chavez, Alexander Gelbukh, José Luis Tapia Fabela. Comparing Commercial Tools and State-of-the-Art Methods for Generating Text Summaries. MICAI 2009. Proc. of 2009 Eighth Mexican International Conference on Artificial Intelligence, ISBN 978-0-7695-3933-1, IEEE CS Press, 2009, pp. 92–96.
363. Francisco Viveros-Jiménez, Efren Mezura-Montes, Alexander Gelbukh. Elitistic Evolution: a Novel Micro-Population Approach for Global Optimization Problems. MICAI 2009. Proceedings of 2009 Eighth Mexican International Conference on Artificial Intelligence, ISBN 978-0-7695-3933-1, IEEE CS Press, 2009, pp. 15–20.
364. Miguel Ángel Ríos Gaona, Alexander Gelbukh, Sivaji Bandyopadhyay. Web-based Variant of the Lesk Approach to Word Sense Disambiguation. MICAI 2009. Proc. of 2009 Eighth Mexican International Conference on Artificial Intelligence, ISBN 978-0-7695-3933-1, IEEE CS Press, 2009, pp. 103–107.
365. Natalia Ponomareva, Mikhail Alexandrov, Alexander Gelbukh. Performance of Inductive Method of Model Self-Organization with Incomplete Model and Noisy Data. MICAI-2008. Proc. 2008 Seventh Mexican International Conference on Artificial Intelligence, ISBN 978-0-7695-3441-1, IEEE CS Press, 2008, pp. 101–108.
366. Alexander Gelbukh, Sang Yong Han, Grigori Sidorov. Compression of Boolean Inverted Files by Document Ordering. IEEE Conference on Natural Language Processing and Knowledge Engineering, NLPKE-2003, Peking, China, IEEE Computer Society Press, ISBN 0-7803-7902-0, p. 244–249.
367. Raul Morales Carrasco, Alexander Gelbukh. Evaluation of TnT Tagger for Spanish. ENC-2003, 4th Mexican International Conference on Computer Science. IEEE Computer Society Press, 2003, ISBN 0-7695-1915-6, pp. 18–25.
368. Hiram Calvo, Alexander Gelbukh. Maintaining inter-sentential continuity of semantic indices with a knowledge base. IEEE Conference on Natural Language Processing and Knowledge Engineering, NLPKE-2003, Peking, China, IEEE Computer Society Press, ISBN 0-7803-7902-0, p. 634–637.
369. Sofía N. Galicia-Haro, Alexander Gelbukh, Igor A. Bolshakov. Acquiring syntactic information for a government pattern dictionary from large text corpora. IEEE International Workshop on Natural Language Processing and Knowledge Engineering, NLPKE 2001 at International IEEE SMC-2001 Conference: Systems, Man, and Cybernetics. Tucson, USA, October 7–10, 2001, IEEE (Abstract in printed version, in extenso in CD-ROM version), ISBN 0-7803-7087-2, 0-7803-7088-0 (microfiche), 0-7803-7089-9 (CD-ROM), ISSN 1062-922X, IEEE Catalog N 01CH37236C, pp. 536–542.
Reprinted as:
▪ Sofía N. Galicia-Haro, Alexander Gelbukh, Igor A. Bolshakov. Acquiring syntactic information for a government pattern dictionary from large text corpora. Technical report, Serie Azul, N 135, March 2002. CIC, IPN, ISBN 970-18-7907-4, 10 pp.
370. Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López, Ricardo Baeza-Yates. Text mining with conceptual graphs. IEEE International Workshop on Natural Language Processing and Knowledge Engineering, NLPKE 2001 at International IEEE SMC-2001 Conference: Systems, Man, and Cybernetics. Tucson, USA, October 7–10, 2001, IEEE (Abstract in printed version, in extenso in CD-ROM version), ISBN 0-7803-7087-2, 0-7803-7088-0 (microfiche), 0-7803-7089-9 (CD-ROM), ISSN 1062-922X, IEEE Catalog N 01CH37236C, pp. 898–903.
▪ Manuel Montes y Gómez, Alexander Gelbukh, Aurelio López López, Ricardo Baeza-Yates. Text mining with conceptual graphs. Technical report, Serie Azul, N 133, March 2002. CIC, IPN, ISBN 970-18-7905-8, 9 pp.
371. Grigori Sidorov, Alexander Gelbukh. Automatic Detection of Semantically Primitive Words Using Their Reachability in an Explanatory Dictionary. IEEE International Workshop on Natural Language Processing and Knowledge Engineering, NLPKE 2001 at Proc. International IEEE SMC-2001 Conference: Systems, Man, and Cybernetics. Tucson, USA, October 7–10, 2001, IEEE (Abstract in printed version, in extenso in CD-ROM version), ISBN 0-7803-7087-2, 0-7803-7088-0 (microfiche), 0-7803-7089-9 (CD-ROM), ISSN 1062-922X, IEEE Catalog N 01CH37236C, pp. 1683–1687.
Revised version:
▪ Grigori Sidorov and Alexander Gelbukh. Automatic detection of semantically primitive words using their reachability in an explanatory dictionary. Technical report, Serie Azul, N 130, March 2002. CIC, IPN, ISBN 970-18-7902-3, 9 pp.
372. Sofía N. Galicia-Haro, Alexander Gelbukh, Igor A. Bolshakov. Combining dependency and constituent-based resources for structure disambiguation. IEEE International Workshop on Natural Language Processing and Knowledge Engineering, NLPKE 2001 at International IEEE SMC-2001 Conference: Systems, Man, and Cybernetics. Tucson, USA, October 7–10, 2001, IEEE (Abstract in printed version, in extenso in CD-ROM version), ISBN 0-7803-7087-2, 0-7803-7088-0 (microfiche), 0-7803-7089-9 (CD-ROM), ISSN 1062-922X, IEEE Catalog N 01CH37236C, pp. 2873–2879.
Reprinted as:
▪ Sofía N. Galicia-Haro, Alexander Gelbukh, Igor A. Bolshakov. Combining dependency and constituent-based resources for structure disambiguation. Technical report, Serie Azul, N 131, March 2002. CIC, IPN, ISBN 970-18-7903-1, 9 pp.
373. Igor A. Bolshakov and Alexander F. Gelbukh. Yet another application of inference in computational linguistics. IEEE International Workshop on Natural Language Processing and Knowledge Engineering, NLPKE 2001 at International IEEE SMC-2001 Conference: Systems, Man, and Cybernetics. Tucson, USA, October 7–10, 2001, IEEE (Abstract in printed version, in extenso in CD-ROM version), ISBN 0-7803-7087-2, 0-7803-7088-0 (microfiche), 0-7803-7089-9 (CD-ROM), ISSN 1062-922X, IEEE Catalog N 01CH37236C, pp. 1688–1692.
Reprinted as:
▪ Igor A. Bolshakov and Alexander F. Gelbukh. Yet another application of inference in computational linguistics. Technical report, Serie Azul, N 132, March 2002. CIC, IPN, ISBN 970-18-7904-X, 8 pp.
374. Alexander Gelbukh, Grigori Sidorov, Igor A. Bolshakov. Coherence Maintenance in Human-Machine Dialogue: Indirect Antecedents and Ellipses. Proc. DEXA-2000, 11th International Conference and Workshop on Database and Expert Systems Applications, NLIS-2000, 2nd International Workshop on Natural Language and Information Systems, Greenwich, England, September 4–8, 2000, ISBN 0-7695-0680-1, ISSN 1529-4188. IEEE Computer Society Press, pp. 96–100.
Revised version:
▪ Alexander F. Gelbukh, Grigori Sidorov, Igor Bolshakov. Coherence maintenance in human-machine dialogue: indirect antecedents and ellipses. Technical report, Serie Azul, N 76, August 2000. CIC, IPN, ISBN 970-18-5428-4, 8 pp.
375. M. Alexandrov, A. Gelbukh, P. Makagonov. Evaluation of Thematic Structure of Multidisciplinary Documents and Document Flows. Proc. DEXA-2000, 11th International Conference and Workshop on Database and Expert Systems Applications, NLIS-2000, 2nd International Workshop on Natural Language and Information Systems, Greenwich, England, September 4–8, 2000, ISBN 0-7695-0680-1, ISSN 1529-4188. IEEE Computer Society Press, pp. 125–129.
Revised version:
▪ Mikhail Alexandrov, Alexander F. Gelbukh, Pavel Makagonov. Evaluation of thematic structure of multidisciplinary documents and document flows. Technical report, Serie Azul, N 75, August 2000. CIC, IPN, ISBN 970-18-5427-6, 9 pp.
376. Alexander Gelbukh, Grigori Sidorov, A. Guzmán-Arenas. Document comparison with a weighted topic hierarchy. Proc. DEXA-99, 10th International Conference and Workshop on Database and Expert Systems Applications, DAUDD’99, 1st International Workshop on Document Analysis and Understanding for Document Databases, Florence, Italy, September 1, 1999, ISBN 0-7695-0281-4, ISBN 0-7695-0283-0, Library of Congress 99-64235, IEEE Computer Society Press, pp. 566–570.
377. A. Gelbukh, G. Sidorov, A. Guzmán-Arenas. A Method of Describing Document Contents through Topic Selection. Proc. SPIRE’99, International Symposium on String Processing and Information Retrieval, Cancun, Mexico, September 22–24, ISBN 0-7695-0268-7, ISBN 0-7695-0270-9, Library of Congress 99-64139, IEEE Computer Society Press, 1999, pp. 73–80.
Revised version:
▪ Alexander F. Gelbukh, Grigori Sidorov, Adolfo Guzmán-Arenas. Topical Summarization with a Weighted Concept Tree. In A. Guzman, R. Menchaca (eds.). Selected papers CIC-1999, CIC, IPN, Mexico City, 2000, ISBN 970-18-4250-2, pp. 45–52.
378. Noman Ashraf, Sabur Butt, Grigori Sidorov, Alexander Gelbukh. CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data Augmentation. CLEF-WN 2021. CLEF 2021 Working Notes. Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum. Bucharest, Romania, September 21st to 24th, 2021. CEUR Workshop Proceedings, CEUR-WS.org, ISSN 1613-0073, vol. 2936, 2021, pp. 446–454.
379. Snehlata, Neetu Mittal, Alexander Gelbukh. Change Detection in Remote-Sensed Data by Particle Swarm Optimized Edge Detection Image Segmentation Technique. In: Raj J.S., Iliyasu A.M., Bestak R., Baig Z.A. (eds). Innovative Data Communication Technologies and Application. Proceedings of ICIDCA 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 59, 2021, ISBN 978-981-15-9651-3. Springer, Singapore, pp. 809–817; doi: 10.1007/978-981-15-9651-3_65.
380. Segun Taofeek Aroyehun, Alexander Gelbukh. Automatically Predicting Judgement Dimensions of Human Behaviour. ALTA 2020, 18th Annual Workshop of the Australasian Language Technology Association, 14–15 January 2021, virtual workshop.
381. Segun Taofeek Aroyehun, Alexander Gelbukh. NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model. In: Parth Mehta, Thomas Mandl, Prasenjit Majumder, Mandar Mitra (eds.). FIRE-WN 2020, FIRE 2020 Working Notes, Working Notes of FIRE 2020 - Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020. CEUR Workshop Proceedings, CEUR-WS.org, ISSN 1613-0073, vol. 2826, 2021, pp. 331–335.
382. Maaz Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh, Paolo Rosso. Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020. In: Parth Mehta, Thomas Mandl, Prasenjit Majumder, Mandar Mitra (eds.). FIRE-WN 2020, FIRE 2020 Working Notes, Working Notes of FIRE 2020 - Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020. CEUR Workshop Proceedings, CEUR-WS.org, ISSN 1613-0073, vol. 2826, 2021, pp. 434–446.
383. Maaz Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh, Paolo Rosso. UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu. FIRE 2020: Forum for Information Retrieval Evaluation. December 2020, pp. 37–40; doi: 10.1145/3441501.3441541.
384. Jason Angel, Carlos A. Rodriguez-Diaz, Alexander Gelbukh, Sergio Jimenez. NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora. EVALITA 2020, 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop. Online event, December 17th, 2020. CEUR Workshop Proceedings, CEUR-WS.org, ISSN 1613-0073, vol. 2765, 2020.
385. Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh. NLP-CIC @ PRELEARN: Mastering Prerequisites Relations, from Handcrafted Features to Embeddings. EVALITA 2020, 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop. Online event, December 17th, 2020. CEUR Workshop Proceedings, CEUR-WS.org, ISSN 1613-0073, vol. 2765, 2020.
386. Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria. MIME: MIMicking Emotions for Empathetic Response Generation. EMNLP 2020, Conference on Empirical Methods in Natural Language Processing, November 2020. Association for Computational Linguistics, pp. 8968–8979; doi: 10.18653/v1/2020.emnlp-main.721.
387. Deepanway Ghosal, Navonil Majumder, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria. COSMIC: COmmonSense knowledge for eMotion Identification in Conversations. Findings of the Association for Computational Linguistics: EMNLP 2020. November 2020. Association for Computational Linguistics, pp. 2470–2481; doi: 10.18653/v1/2020.findings-emnlp.224.
388. Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander Gelbukh. NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier. 14th Workshop on Semantic Evaluation, December 2020, Barcelona (online). International Committee for Computational Linguistics, pp. 957–962.
389. Raza Ul Mustafa, Noman Ashraf, Fahad Shabbir Ahmed, Javed Ferzund, Basit Shahzad, Alexander Gelbukh. A Multiclass Depression Detection in Social Media Based on Sentiment Analysis. 17th International Conference on Information Technology–New Generations (ITNG 2020). Advances in Intelligent Systems and Computing, ISSN: 2194-5357, vol 1134. Springer, 2020, pp. 659–662; doi: 10.1007/978-3-030-43020-7_89.
390. Noman Ashraf, Rabia Mustafa, Grigori Sidorov, Alexander Gelbukh. Individual vs. Group Violent Threats Prediction in Online Discussions Using Deep Learning. WWW '20: Companion Proceedings of the Web Conference 2020, April 20–24, 2020, Taipei, Taiwan. ACM, pp. 629–633; doi: 10.1145/3366424.3385778.
391. Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), November 3–7, 2019, Hong Kong, China, Association for Computational Linguistics, pp. 154–164.
392. Carolina Martín del Campo Rodríguez, Daniel Alejandro Pérez Álvarez, Christian Efraín Maldonado Sifuentes, Grigori Sidorov, Ildar Batyrshin, Alexander Gelbukh. Authorship Attribution through Punctuation n-grams and Averaged Combination of SVM. PAN Lab on Digital Text Forensics and Stylometry. In: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9–12, 2019. CEUR Workshop Proceedings, ISSN 1613-0073, vol. 2380, paper 242, 2019.
393. Muhammad Hammad Fahim Siddiqui, Iqra Ameer, Alexander Gelbukh, Grigori Sidorov. Bots and Gender Profiling on Twitter. PAN Lab on Digital Text Forensics and Stylometry. In: Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9–12, 2019. CEUR Workshop Proceedings, ISSN 1613-0073, vol. 2380, paper 186, 2019.
394. Segun Taofeek Aroyehun, Alexander Gelbukh. Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings. Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, ACL. August, 2019, Florence, Italy, Association for Computational Linguistics, 2019, pp. 133–135, doi: 10.18653/v1/W19-3224.
395. Iqra Ameer, Muhammad Hammad Fahim Siddiqui, Grigori Sidorov, Alexander Gelbukh. CIC at SemEval-2019 Task 5: Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter. *SEMEVAL, Proceedings of the 13th International Workshop on Semantic Evaluation, June 2019, Association for Computational Linguistics, 2019, pp. 382–386, doi: 10.18653/v1/S19-2067.
396. Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria. DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), January 27 to February 1, 2019. Honolulu, USA, pp. 6818–6825, doi: 10.1609/aaai.v33i01.33016818.
397. Navonil Majumder, Soujanya Poria, Alexander Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal. IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. EMNLP 2018: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium, October 31 – November 4, 2018. Association for Computational Linguistics, pp. 3402–3411.
398. Segun Taofeek Aroyehun, Alexander Gelbukh. Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets. Proceedings of the 3rd Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task. In conjunction with EMNLP 2018. Brussels, Belgium, October 31, 2018. Association for Computational Linguistics, pp. 54–55.
399. Segun Taofeek Aroyehun, Alexander Gelbukh. Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling. Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018), August 2018, Santa Fe, New Mexico, USA, collocated with COLING 2018. Association for Computational Linguistics, 2018, pp. 90–97.
Best result out of 30 participating systems for the task (on the Facebook dataset).
400. Segun Taofeek Aroyehun, Jason Angel, Daniel Alejandro Pérez Alvarez, Alexander Gelbukh. Complex Word Identification: Convolutional Neural Network vs. Feature Engineering. In Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, United States, 2018, ISBN 978-1-948087-11-7. Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, pp. 322–327.
401. Fernando Monroy-Tenorio, Ildar Batyrshin, Alexander Gelbukh, Valery Solovyev, Nailya Kubysheva, Imre Rudas. Correlation Measures for Bipolar Rating Profiles. Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, ISSN: 2194-5357, vol. 648, 2018, Springer, pp. 22–32, doi: 10.1007/978-3-319-67137-6_3.
402. Francisco Javier García-López, Ildar Batyrshin, Alexander Gelbukh. Dynamic Local Trend Associations in Analysis of Comovements of Financial Time Series. Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, ISSN: 2194-5357, vol. 648, 2018, Springer, pp. 181–188, doi: 10.1007/978-3-319-67137-6_20.
403. Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov, Alexander Gelbukh. The Winning Approach to Cross-Genre Gender Identification in Russian at RUSProfiling 2017. Working notes of FIRE 2017 - Forum for Information Retrieval Evaluation. Bangalore, India, December 8–10, 2017. CEUR Workshop Proceedings, ISSN 1613-0073, vol. 2036, CEUR-WS.org, 2017, pp. 20–24.
404. Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, Alexander Gelbukh. NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis. IJCNLP 2017. The Eighth International Joint Conference on Natural Language Processing. Proceedings of the IJCNLP 2017, Shared Tasks. November 27 – December 1, 2017. Taipei, Taiwan. Asian Federation of Natural Language Processing, pp. 180–183.
405. Carolina Fócil-Arias, Jorge Zúñiga, Grigori Sidorov, Ildar Batyrshin, Alexander Gelbukh. A tweets classifier based on cosine similarity. Working Notes of CLEF 2017 - Conference and Labs of the Evaluation forum. Dublin, Ireland, September 11–14, 2017. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1866, CEUR-WS.org, 2017, 10 pp.
406. Divyanshu Bhardwaj, Partha Pakray, Jereemi Bentham, Saurav Saha, Alexander Gelbukh. Question Answering System for Frequently Asked Questions. CLiC-it & EVALITA 2016. Proceedings CLiC-it 2016 and EVALITA 2016. Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016). Napoli, Italy, December 5–7, 2016. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1749, CEUR-WS.org, 2016, 5 pp.
407. Sandip Sarkar, Saurav Saha, Jereemi Bentham, Partha Pakray, Dipankar Das, Alexander Gelbukh. NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection. Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation. Kolkata, India, December 7–10, 2016. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1737, CEUR-WS.org, 2016, pp. 256–259.
408. Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov, Alexander Gelbukh. Adapting Cross-Genre Author Profiling to Language and Corpus. Digital Text Forensics (PAN). CLEF2016 Working Notes. Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum. Évora, Portugal, 5–8 September, 2016. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1609, CEUR-WS.org, 2016, pp. 947–955.
409. Sandip Sarkar, Dipankar Das, Partha Pakray, Alexander Gelbukh. JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio. Proceedings of SemEval-2016. San Diego, California, June 16–17, 2016. Association for Computational Linguistics, pp. 702–705.
410. Miguel A. Sanchez-Perez, Alexander Gelbukh, Grigori Sidorov. Dynamically Adjustable Approach through Obfuscation Type Recognition. Notebook for PAN at CLEF 2015. Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum. Toulouse, France, September 8–11, 2015. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1391, CEUR-WS.org, 2015.
411. Juan-Pablo Posadas-Durán, Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Ildar Batyrshin, Alexander Gelbukh, Obdulia Pichardo Lagunas. Syntactic N-grams as Features for the Author Profiling Task. Notebook for PAN at CLEF 2015. Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum. Toulouse, France, September 8–11, 2015. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1391, CEUR-WS.org, 2015.
412. Soujanya Poria, Erik Cambria, Alexander Gelbukh. Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, 17–21 September 2015, Association for Computational Linguistics, pp. 2539–2544.
413. Claudia Perez-Martinez, Gabriel Lopez Morteo, Magally Martinez Reyes, Alexander Gelbukh. Automatic Generation of Learning Path. Doctoral Consortium - DCAART, 2015, Lisbon, Portugal, pp. 35–39.
414. Sergio Jimenez, George Dueñas, Julia Baquero, Alexander Gelbukh. UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), Dublin, Ireland, August 23–24, 2014, ISBN 978-1-941643-24-2, pp. 732–742.
415. Miguel Sanchez-Perez, Grigori Sidorov, Alexander Gelbukh. The Winning Approach to Text Alignment for Text Reuse Detection at PAN 2014. In: L. Cappellato, N. Ferro, M. Halvey, W. Kraaij (eds.). Notebook for PAN at CLEF 2014. CLEF 2014. CLEF2014 Working Notes. Sheffield, UK, September 15–18, 2014. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1180, CEUR-WS.org, 2014, pp. 1004–1011.
Best result out of 11 participating systems for the task.
This paper can be also mistakenly indexed as “A Winning Approach to Text Alignment for Text Reuse Detection at PAN 2014”.
416. Helena Gómez-Adorno, Grigori Sidorov, David Pinto, Alexander Gelbukh. Graph-based Approach to the Question Answering Task Based on Entrance Exams. CLEF 2014. CLEF2014 Working Notes. Sheffield, UK, September 15–18, 2014. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1180, CEUR-WS.org, 2014, pp. 1395–1403.
417. Soujanya Poria, Erik Cambria, Lun-Wei Ku, Chen Gui, Alexander Gelbukh. A Rule-Based Approach to Aspect Extraction from Product Reviews. Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP), August 24, 2014, Dublin, Ireland, ISBN 978-1-873769-45-4, pp. 28–37. Invited paper.
418. Alisa Zhila, Alexander Gelbukh. Open Information Extraction for Spanish Language based on Syntactic Constraints. ACL 2014 Student Research Workshop, Baltimore, Maryland, USA, June 22–27, 2014, Association for Computational Linguistics, pp. 78–85.
419. Soujanya Poria, Nir Ofek, Alexander Gelbukh, Amir Hussain, Lior Rokach. Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis. Semantic Web Evaluation Challenge. SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25–29, 2014, Revised Selected Papers. Communications in Computer and Information Science, N 475, ISSN 1865-0929, ISBN 978-3-319-12023-2, 2014, pp 41–47, doi: 10.1007/978-3-319-12024-9_5.
420. Erik Cambria, Soujanya Poria, Alexander Gelbukh, Kenneth Kwok. Sentic API: A Common-Sense Based API for Concept-Level Sentiment Analysis. In: Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie (Eds.). Proceedings of the 4th Workshop on Making Sense of Microposts (#Microposts2014), co-located with the 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, April 7th, 2014. CEUR Workshop Proceedings (CEUR-WS.org), ISSN 1613-0073, Vol. 1141, pp. 19–24.
421. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Applications of Textual Entailment. In: ECIR 2013 – Doctoral Consortium. 35th European Conference on Information Retrieval (ECIR 2013), March 24, 2013, Moscow, Russia, pp. 34–39.
422. Claudia Becerra, Sergio Jimenez, Alexander Gelbukh. Towards User Profile-based Interfaces for Exploration of Large Collections of Items. Proc. of 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 12, 2013. CEUR-WS.org, CEUR Workshop Proceedings, Vol. 1050, ISSN 1613-0073, 2013, pp. 9–16.
423. Pinaki Bhaskar, Somnath Banerjee, Partha Pakray, Samadrita Banerjee, Sivaji Bandyopadhyay, Alexander Gelbukh. A Hybrid Question Answering System for Multiple Choice Question (MCQ). Proc. of Question Answering for Machine Reading Evaluation (QA4MRE) at CLEF 2013 Conference and Labs of the Evaluation Forum. CLEF2013 Working Notes. Working Notes for CLEF 2013 Conference. Valencia, Spain, September 23-26, 2013. CEUR Workshop Proceedings, Vol. 1179, ISSN 1613-0073, 18 pp.
Best result out of 19 participating systems for the task.
424. Somnath Banerjee, Pinaki Bhaskar, Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Multiple Choice Question (MCQ) Answering System for Entrance Examination. Proc. of Question Answering for Machine Reading Evaluation (QA4MRE) at CLEF 2013 Conference and Labs of the Evaluation Forum. Working Notes. Working Notes for CLEF 2013 Conference. Valencia, Spain, September 23-26, 2013. CEUR Workshop Proceedings, Vol. 1179, ISSN 1613-0073, 18 pp.
425. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Binary-class and Multi-class based Textual Entailment System. Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, June 18–21, 2013, Tokyo, Japan. National Institute of Informatics, ISBN 978-4-86049-062-1, 6 pp.
426. A. Zhila, A. Gelbukh. Comparison of open information extraction for English and Spanish. 19th Annual International Conference Dialog 2013, Bekasovo, Russia, May 20 to June 2, 2013. Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2013). Issue 12, Volume 1, pp. 794–802.
427. Christopher Horn, Alisa Zhila, Alexander Gelbukh, Roman Kern, Elisabeth Lex. Using Factual Density to Measure Informativeness of Web Documents. Proceedings of the 19th Nordic Conference on Computational Linguistics NODALIDA 2013, May 22–24, 2013, Oslo Norway, Linköping Electronic Conference Proceedings; Volume 85, ISSN 1650-3740, ISBN 978-91-7519-589-6, Linköping University Electronic Press, pp. 227–238.
428. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh. SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity. *SEM 2013: The Second Joint Conference on Lexical and Computational Semantics. Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. June 13–14, 2013, Atlanta, Georgia, USA. Collocated with NAACL 2013. The Association for Computational Linguistics, ISBN 978-1-937284-48-0; pp. 194–201.
429. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh. SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT. *SEM 2013: The Second Joint Conference on Lexical and Computational Semantics. Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). June 13–14, 2013, Atlanta, Georgia, USA. Collocated with NAACL 2013. The Association for Computational Linguistics, ISBN 978-1-937284-49-7; pp. 34–38.
430. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh. UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags. *SEM 2013: The Second Joint Conference on Lexical and Computational Semantics. Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). June 13–14, 2013, Atlanta, Georgia, USA. Collocated with NAACL 2013. The Association for Computational Linguistics, ISBN 978-1-937284-49-7; pp. 114–117.
431. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh. SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis. *SEM 2013: The Second Joint Conference on Lexical and Computational Semantics. Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). June 13–14, 2013, Atlanta, Georgia, USA. Collocated with NAACL 2013. The Association for Computational Linguistics, ISBN 978-1-937284-49-7; pp. 280–284.
432. Partha Pakray, Pinaki Bhaskar, Somnath Banerjee, Sivaji Bandyopadhyay, Alexander Gelbukh. An Automatic System for Modality and Negation Detection. In: Pamela Forner, Jussi Karlgren and Christa Womser-Hacker (Eds.). CLEF 2012 Evaluation Labs and Workshop, Online Working Notes. ISBN 978-88-904810-3-1, ISSN 2038-4963. Track: Question Answering for Machine Reading Evaluation (QA4MRE), CLEF 2012, Rome, Italy, September 2012, 5 pp.
433. Pinaki Bhaskar, Partha Pakray, Somnath Banerjee, Samadrita Banerjee, Sivaji Bandyopadhyay, Alexander Gelbukh. Question Answering System for QA4MRE@CLEF 2012. In: Pamela Forner, Jussi Karlgren and Christa Womser-Hacker (Eds.). CLEF 2012 Evaluation Labs and Workshop, Online Working Notes. ISBN 978-88-904810-3-1, ISSN 2038-4963. Track: Question Answering for Machine Reading Evaluation (QA4MRE). CLEF 2012, Rome, Italy, September 2012, 12 pp.
Best result out of 21 participating systems for the task.
434. Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. JU_CSE_NLP: Language Independent Cross-lingual Textual Entailment System. Proc. of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics. Collocated with NAACL-HLT 2012. June 7–8, Montreal, Canada. ISBN 978-1-937284-22-0, Association for Computational Linguistics; pp. 689–695.
435. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh. Soft Cardinality + ML: Learning Adaptive Similarity Functions for Cross-lingual Textual Entailment. Proc. of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics. Collocated with NAACL-HLT 2012. June 7–8, Montreal, Canada. ISBN 978-1-937284-22-0, Association for Computational Linguistics; pp. 684–688.
436. Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. JU_CSE_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs. Proc. of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics. Collocated with NAACL-HLT 2012. June 7–8, Montreal, Canada. ISBN 978-1-937284-22-0, Association for Computational Linguistics; pp. 571–574.
437. Sergio Jimenez, Claudia Becerra, Alexander Gelbukh. Soft Cardinality: A Parameterized Similarity Function for Text Comparison. Proc. of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics. Collocated with NAACL-HLT 2012. June 7–8, Montreal, Canada. ISBN 978-1-937284-22-0, Association for Computational Linguistics; pp. 449–453.
438. Sofía N. Galicia-Haro and Alexander Gelbukh. Web-based contrastive comparison of Age-Related Temporal Phrases in Spanish and French. Oliver Čulo, Silvia Hansen-Schirra, Johannes Gutenberg (Eds.). Contrastive Linguistics, Translation Studies, Machine Translation – what can we learn from each other? Pre-conference Workshop GSCL 2011, Hamburg, 27th September, 2011, Universität Mainz.
439. Claudia Becerra, Fabio Gonzalez, Alexander Gelbukh. Visualizable and explicable recommendations obtained from price estimation functions. In: Alexander Felfernig, Li Chen, Monika Mandl, Martijn Willemsen, Dirk Bollen, Michael Ekstrand (eds.). Joint proceedings of the RecSys 2011 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys'11) and User-Centric Evaluation of Recommender Systems and Their Interfaces-2 (UCERSTI 2) affiliated with the 5th ACM Conference on Recommender Systems. Chicago, USA, October 23th and 26th, 2011. CEUR Workshop Proceedings, vol. 811, ISSN 1613-0073, 2011, pp. 27–34.
440. Partha Pakray, Snehasis Neogi, Pinaki Bhaskar, Soujanya Poria, Sivaji Bandyopadhyay, Alexander Gelbukh. A Textual Entailment System using Anaphora Resolution. System Report. Text Analysis Conference, Recognizing Textual Entailment Track (TAC RTE). Notebook. November 14–15, 2011, National Institute of Standards and Technology, Gaithersburg, Maryland USA, 2011.
441. Partha Pakray, Pinaki Bhaskar, Somnath Banerjee, Bidhan Chandra Pal, Sivaji Bandyopadhyay, Alexander Gelbukh. A Hybrid Question Answering System based on Information Retrieval and Answer Validation. CLEF 2011 Workshop on Question Answering for Machine Reading Evaluation (QA4MRE). CLEF 2011 Labs and Workshop. 19–22 September, Amsterdam. Notebook Papers. ISBN 978-88-904810-1-7; ISSN 2038-4726. 2011, 16 pp.
Best result out of 25 participating systems for the task.
442. I.A. Bolshakov, A.F. Gelbukh. A large electronic dictionary as polythematic guide and shaper of queries to the Web (in Russian: Большой электронный словарь как политематический справочник и формирователь запросов к Интернету). International conference Dialog-2011, Russia, May 2011, p. 131–141.
443. Partha Pakray, Santanu Pal, Soujanya Poria, Sivaji Bandyopadhyay, Alexander Gelbukh. JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6. System Report. Text Analysis Conference, Recognizing Textual Entailment Track (TAC RTE). Notebook, 2010.
444. Javier Tejada Cárcamo, Hiram Calvo, Alexander Gelbukh, José Villegas. Impacto de Recursos Léxicos Manuales y Automáticos en la WSD. CLEI 2010, XXXVI Latin American Conference of Informatics, 18–22 October 2010, Asunción, Paraguay, ISBN 978-999-6761-20-1.
445. Claudia Pérez Martínez, Alexander Gelbukh. Wikificación automática de contenido para objetos de aprendizaje. LACLO 2010, 5th Latin American Conference on Learning Objects, São Paulo, Brazil, 27 September to 1 October, 2010. ISBN. Accepted.
446. Partha Pakray, Pinaki Bhaskar, Santanu Pal, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. JU_CSE_TE: System Description QA@CLEF 2010 - ResPubliQA. In: Martin Braschler, Donna Harman, Emanuele Pianta (Eds.). CLEF 2010 LABs and Workshops, Notebook Papers. CLEF 2010 Workshop on Multiple Language Question Answering (MLQA 2010). 22–23 September 2010, Padua, Italy. ISBN 978-88-904810-2-4; ISSN 2038-4963. 2010, 10 pp.
447. А.Ф. Гельбух, Г.О. Сидоров, Э. Лавин-Вийа, Л. Чанона-Эрнандес (A. Gelbukh, G. Sidorov, E. Lavin-Villa, L. Chanona-Hernandez). Automatic Detection and Classification of Single-Word Terms in a Specific Domain Corpus Using Log-Likelihood Similarity with General Purpose Corpus (in Russian: Автоматический поиск и классификация однословных терминов в корпусе предметной области с использованием логарифмической меры сходства с неспециализированным корпусом). International conference Dialog-2010, Russia, 2010, ISBN 5-7281-1148-1, p. 82–89.
448. I.A. Bolshakov, E.I. Bolshakova, A.F. Gelbukh. An Associative Network of Concepts that Enter to Internet Queries (in Russian: Ассоциативная сеть понятий, образующих запросы к Интернет). International conference Dialog-2010, Russia, 2010, ISBN 5-7281-1148-1, p. 55–61.
449. Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh. Lexical based two-way RTE System at RTE-5. Description of JU_CSE_TAC system: RTE (two-way task). Unrefereed paper. TAC 2009 Workshop, November 16–17, 2009, National Institute of Standards and Technology, Gaithersburg, Maryland, USA, 2009, 6 pp.#
450. Francisco Viveros Jiménez, Efrén Mezura Montes, Alexander Gelbukh. Adaptive evolution: an efficient heuristic for global optimization. Franz Rothlauf (Ed.). Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8–12, 2009. ACM 2009, ISBN 978-1-60558-325-9, pp. 1827–1828.
451. Horacio Alberto García Salas, Alexander Gelbukh. Musical composer based on detection of typical patterns in a human composer's style. XXIV Simposio Internacional de Computación en Educación. Sociedad Mexicana de Computación en Educación - SOMECE. 25–29 October 2008. Xalapa de Enríquez, Veracruz, Mexico. www.somece.org.mx/simposio/memorias/documentos/103.doc.
452. A. Gelbukh, G.O. Sidorov, D. Lara-Reyes, L. Chanona-Hernández, M.V. Chubukova. Genetic Algorithm for Automatic Division of Words into Morphemes. Dialogue-2008, Russia, ISBN 978-5-7281-1022-4, pp. 97–102.
453. Alexander Gelbukh, Grigori Sidorov, Liliana Chanona-Hernandez. Динамическое программирование, основанное на вычислении лексического сходства, для выравнивания параллельных текстов и его оценка (In Russian. Dynamic programming based on lexical similarity calculation in alignment of parallel texts and its evaluation). Dialogue-2007, Bekasovo, Russia, 30 May to 3 June 2007, p. 121–129.
454. Xavier Blanco, Mikhail Alexandrov, Alexander Gelbukh. Elaborating Formulae for Testing Word Similarity in Inflective Languages. IJCAI-07, 20th International Joint Conference on Artificial Intelligence, Workshop on Cross Lingual Information Access Addressing the Information Need of Multilingual Societies, India, 2007.
455. H. Calvo, A. Gelbukh. Dependency Triples vs. Trigrams for PP Disambiguation. Avances en la Ciencia de la Computación. VII Encuentro Internacional de Computación ENC’06, ISBN 968-5733-06-6, 2006.
456. A. Gelbukh, S. Torres. Tratamiento de ciertos pronombres y conjunciones en la transformación de un corpus de constituyentes a un corpus de dependencias. Avances en la Ciencia de la Computación. VII Encuentro Internacional de Computación ENC’06, ISBN 968-5733-06-6, 2006.
457. Carlos Mario Zapata Jaramillo, A. Gelbukh, F. Arango Isaza. UN-Lencep: Obtención Automática de Diagramas UML a partir de un Lenguaje Controlado. Avances en la Ciencia de la Computación. VII Encuentro Internacional de Computación ENC’06, ISBN 968-5733-06-6, 2006, pp. 254–259.
458. Alexander Gelbukh, Grigori Sidorov, A. Vera-Félix. Словари в задачах автоматической обработки пар переводных текстов (In Russian; Dictionaries in tasks of automatic processing of pairs of translated texts). In: Computational Linguistics and Intelligent Technologies, Dialogue-2006, 2006, ISBN 5-7281-0900-4, Russia, pp. 110–114; www.dialog-21.ru/dialog2006/materials/pdf/Gelbukh.pdf.
459. Javier Tejada-Cárcamo, Alexander Gelbukh, Hiram Calvo. Desambiguación de sentidos de palabras usando relaciones sintácticas como contexto local. In: Advances in Natural Language Understanding and Intelligent Access to Textual Information: Proc. of First International Workshop on Natural Language Understanding and Intelligent Access to Textual Information, in: Hugo Terashima-Marín, Horacio Martínez-Alfaro, Manuel Valenzuela-Rendón, Ramón Breno-Pinero (Eds.). Fourth Mexican International Conference on Artificial Intelligence. Tutorials and Workshops, 2005, ISBN 968-891-094-5, pp. 31–40.
460. Hiram Calvo, Alexander Gelbukh. Recognizing Situation Patterns from Self-Contained Stories. In: Advances in Natural Language Understanding and Intelligent Access to Textual Information: Proc. of First International Workshop on Natural Language Understanding and Intelligent Access to Textual Information, in: Hugo Terashima-Marín, Horacio Martínez-Alfaro, Manuel Valenzuela-Rendón, Ramón Breno-Pinero (Eds.). Fourth Mexican International Conference on Artificial Intelligence. Tutorials and Workshops, 2005, ISBN 968-891-094-5, pp. 1–10.
461. Alexander Gelbukh, Grigori Sidorov. К вопросу об автоматическом морфологическом анализе флективных языков (In Russian. On Automatic Morphological Analysis of Inflective Languages). International Conf. on Applied Linguistics Dialogue-2005, 2005, “Nauka” Publ., ISBN 5-02-033970-9, Russia, pp. 92–96.
462. Pavel Makagonov, Alejandro Ruiz Figueroa, Konstantin Sboychakov, Alexander Gelbukh. Learning a Domain Ontology from Hierarchically Structured Texts. Proc. of Workshop “Learning and Extending Lexical Ontologies by using Machine Learning Methods” at 22nd International Conference on Machine Learning, ICML 2005, August 7–11, 2005, Bonn, Germany. (A Springer publication is expected. )
463. Alexander Gelbukh, Grigori Sidorov. Exploring Large Document Collections with a Dynamic Hierarchy. International Conference INFORMATION-2004, Tokyo, Japan, November 2004, pp. 573–576.
464. А. Ф. Гельбух, Г. О. Сидоров, Э. Эрнандес-Рубио, М. В. Чубукова. Словари сочетаемости слов: какой метод составления лучше? (In Russian. Alexander Gelbukh, Grigori Sidorov, E. Hernández-Rubio, M. V. Chubukova. Word Combinations Dictionaries: Which compilation method is better?) Proc. Annual International Conf. on Applied Linguistics Dialogue-2004, ISBN 5-02-010287-3, Russia, pp. 133–138.
465. I. Bolshakov, A. Gelbukh. On Detection of Malapropisms by Multistage Collocation Testing. NLDB-2003, 8th International Conference on Application of Natural Language to Information Systems, June 23–25, 2003, Burg, Germany. Lecture Notes in Informatics. Bonner Köllen Verlag, ISSN 1617-5468, ISBN 3-88579-358-X, 2003, pp. 28–41.
▪ Igor A. Bolshakov, Alexander Gelbukh. On detection of malapropisms by multistage collocation testing. Technical Report, N 96, CIC-IPN, Serie verde, April 2003, 13 pp.#
466. A. Gelbukh, M. Alexandrov, A. Bourek, P. Makagonov. Selection of Representative Documents for Clusters in a Document Collection. NLDB-2003, 8th International Conference on Application of Natural Language to Information Systems, June 23–25, 2003, Burg, Germany. Lecture Notes in Informatics. Bonner Köllen Verlag, ISSN 1617-5468, ISBN 3-88579-358-X, 2003, pp. 120–126.
▪ Alexander Gelbukh, Mikhail Alexandrov, Ales Bourek. Selection of Representative Documents for Cluster in a Document Collection. Technical Report, N 94, CIC-IPN, Serie verde, March 2003, 10 pp.
467. Alexander Gelbukh, Grigori Sidorov, L. Chanona-Hernández. Is word sense disambiguation useful in information retrieval? SSGRR 2003s, International Conference on Advances in Infrastructure for e-Business, e-Education, e-Science, e-Medicine, and Mobile Technologies on the Internet, track ISY, Scuola Superiore G. Reiss Romoli, L’Aquila, Italy, July 28 – August 3, 2003 (full text; abstract: p. 17); ISBN 88-85280-74-9.
468. Alexander Gelbukh, Sang Yong Han, Sergei Levachkine. Combining sources of evidence to resolve ambiguities in toponym recognition in cartographic maps. Semantic Processing of Spatial Data (selected papers of International Conference GEOPRO-2003, Mexico City), IPN, 2003. ISBN 970-36-0103-0, p. 42–51.
469. Alexander Gelbukh, Sergei Levachkine. Error detection and correction in toponym recognition in cartographic maps. IASTED International Conference GEOPRO-2002, Semantic Processing of Spatial Data. Mexico City, December 3–4, 2002. ISBN 970-18-8521-X.
470. Alexander Gelbukh, Grigori Sidorov, L. Chanona Hernández. Corpus virtual, virtual: Un diccionario grande de contextos de palabras españolas compilado a través de Internet. In: Julio Gonzalo, Anselmo Peñas, Antonio Ferrández (Eds.) Proc. Multilingual Information Access and Natural Language Processing, International Workshop (November 12) at IBERAMIA-2002, VII Iberoamerican Conference on Artificial Intelligence, Sevilla, Spain, November 12–15, 2002, p. 7–14.
471. Francisco Velásquez, Alexander Gelbukh, Grigori Sidorov. AGME: Un sistema de análisis y generación de la morfología del español. In: Julio Gonzalo, Anselmo Peñas, Antonio Ferrández (Eds.) Proc. Multilingual Information Access and Natural Language Processing, International Workshop (November 12) at IBERAMIA-2002, VII Iberoamerican Conference on Artificial Intelligence, Sevilla, Spain, November 12–15, 2002, p. 1–6.
472. Hiram Calvo, Alexander Gelbukh. Action-request dialogue understanding system. J.H. Sossa Azuela et al. (Eds.) Avances en Ciencias de la Computación e Ingeniería de Cómputo. Proc. CIC'2002, XI Congreso Internacional de Computación, November 2002, CIC-IPN, ISBN 970-18-8590-2, ISBN 970-18-8591-0, Mexico, v. II, p. 231–242.
473. Alexander Gelbukh. Primera Asociación para el procesamiento del lenguaje natural en América Latina: problemas y perspectivas. Proc. SLPLT-2, the 2nd International Workshop on Spanish Language Processing and Language Technologies, Jaén, Spain, September 14–15, 2001, ISBN 84-8454-095-2, Editorial Club Universitario, pp. 35–40.
474. Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. Document indexing with a concept hierarchy. 1st International Workshop on New Developments in Digital Libraries, NDDL 2001, in conjunction with ICEIS 2001, International Conference on Enterprise Information Systems, Setúbal, Portugal, ICEIS Press, ISBN 972-98050-4-0, Depósito Legal N 164955/01, 2001, pp. 47–54.#
Reprinted as:
▪ Alexander Gelbukh, Grigori Sidorov, Adolfo Guzman-Arenas. Document indexing with a concept hierarchy. Technical report, Serie Azul, N 101, June 2001. CIC, IPN, ISBN 970-18-6975-3, 8 pp.
475. Grigori Sidorov, Alexander Gelbukh. Word sense disambiguation in a Spanish explanatory dictionary. Proc. TALN-2001, Tours, France, July 2–5, 2001, pp. 398–402.
Revised version:
▪ Grigori Sidorov, Alexander Gelbukh. Word sense disambiguation in an explanatory dictionary and its usage in semantic network construction. Technical report, Serie Azul, N 90, May 2001. CIC, IPN, ISBN 970-18-6617-7, 13 pp.
476. G. O. Sidorov, I. A. Bolshakov, P. Cassidy, S. Galicia-Haro, A. F. Gelbukh. A Comparative analysis of the semantic field “non-adult” in Russian, English, and Spanish (in Russian). Proc. Annual International Conf. on Applied Linguistics Dialogue-2000, June 2000, Moscow, Russia.
477. Alexander Gelbukh. A Data Structure for Prefix Search under Access Locality Requirements and its Application to Spelling Correction. Proc. MICAI-2000, 1st Mexican International Conference on Artificial Intelligence (Spanish section), ISBN 970-18-4465-3, Acapulco, Mexico, April 2000, pp. 405–423.
478. Alexander Gelbukh, Grigori Sidorov, Igor A. Bolshakov. Coherence Maintenance in Man-Machine Dialogue with Ellipses. Proc. MICAI-2000, 1st Mexican International Conference on Artificial Intelligence (Spanish section), ISBN 970-18-4465-3, Acapulco, Mexico, April 2000, pp. 386–392.
479. Igor Bolshakov, Alexander Gelbukh, Grigori Sidorov. On Subject-Predicate Agreement in Spanish. Proc. CICLing-2000, International Conference on Intelligent Text Processing and Computational Linguistics, February 13–19, 2000, Mexico City. CIC-IPN, ISBN 970-18-4206-5, pp. 59–67.
480. Mikhail Alexandrov, Alexander Gelbukh, Pavel Makagonov. Some Keyword-Based Characteristics for Evaluation of Thematic Structure of Multidisciplinary Documents. Proc. CICLing-2000, International Conference on Intelligent Text Processing and Computational Linguistics, February 13–19, 2000, Mexico City. CIC-IPN, ISBN 970-18-4206-5, pp. 390–401.
481. Mikhail Alexandrov, Alexander Gelbukh, Pavel Makagonov. On Metrics for Keyword-Based Document Selection and Classification. Proc. CICLing-2000, International Conference on Intelligent Text Processing and Computational Linguistics, February 13–19, 2000, Mexico City. CIC-IPN, ISBN 970-18-4206-5, pp. 373–389.
482. I. Bolshakov, A. Gelbukh. Two approaches to computational modeling of natural language. Keynote talk. Proc. TAINA-99, International Workshop on Artificial Intelligence, CIC-IPN, Mexico D.F., ISBN 970-18-3554-9, pp. 3–16.
483. Grigori Sidorov, Alexander Gelbukh. La resolución de correferencia con un diccionario de escenarios. Proc. CIC-99, Simposium Internacional de Computación, November 15 - 19, 1999, CIC, IPN, Mexico D.F., ISBN 970-18-3697-9, pp. 382–391.
484. Manuel Montes-y-Gómez, Alexander Gelbukh, Aurelio López-López. Detecting the Dependencies of a Peak News Topic. Proc. CIC-99, Simposium Internacional de Computación, November 15 - 19, 1999, CIC, IPN, Mexico D.F., ISBN 970-18-3697-9, pp. 360–366.
485. Alexander Gelbukh, Grigori Sidorov. A dictionary-based algorithm for indirect anaphora resolution. Proc. VEXTAL, Venecia per il Trattamento Automatico delle Lingue, November 22 to 24, 1999, ISBN 88-8098-112-9, pp. 169–174.
byron.cgm.unive.it/eventi/VEXTAL/EVEXTAL.html
486. S.N. Galicia-Haro, A. Gelbukh, I. Bolshakov. Advanced subcategorization frames for languages with relaxed word order constraints (on Spanish examples). Proc. VEXTAL, Venecia per il Trattamento Automatico delle Lingue, November 22 to 24 1999, ISBN 88-8098-112-9, pp. 101–110.
byron.cgm.unive.it/eventi/VEXTAL/EVEXTAL.html
487. G. Sidorov, I. Bolshakov, P. Cassidy, S. Galicia-Haro, A.Gelbukh. ‘Non-adult’ semantic field: comparative analysis for English, Spanish, and Russian. Proc. 3rd Tbilisi Symposium on Language, Logic, and Computation. Batumi, Georgia, September 12–16, 1999.
488. Igor Bolshakov, Alexander Gelbukh, Sofia Galicia-Haro. A Simple Method to Detect and Correct Spanish Accentuation Typos. Proc. PACLING-99, Pacific Association for Computational Linguistics, University of Waterloo, Waterloo, Ontario, Canada, August 25–28, 1999, ISBN 0-9685753-0-7, pp. 104–113.
www.lpaig.uwaterloo.ca/~b2hui/pacling/presenters.html
489. A. Gelbukh. Syntactic disambiguation with weighted extended subcategorization frames. Proc. PACLING-99, Pacific Association for Computational Linguistics, University of Waterloo, Waterloo, Ontario, Canada, August 25–28, 1999, ISBN 0-9685753-0-7, pp. 244–249.
www.lpaig.uwaterloo.ca/~b2hui/pacling/presenters.html
490. A. F. Gelbukh, G. Sidorov. On Indirect Anaphora Resolution. Proc. PACLING-99, Pacific Association for Computational Linguistics, University of Waterloo, Waterloo, Ontario, Canada, August 25–28, 1999, ISBN 0-9685753-0-7, pp. 181–190.
www.lpaig.uwaterloo.ca/~b2hui/pacling/presenters.html
491. Grigori Sidorov, Alexander Gelbukh. Demonstrative pronouns as markers of indirect anaphora. Proc. 2nd International Conference on Cognitive Science and 16th Annual Meeting of the Japanese Cognitive Science Society Joint Conference (ICCS/JCSS99), July 27–30, 1999, Tokyo, Japan, pp. 418–423.
Reprinted as:
▪ Grigori Sidorov, Alexander Gelbukh. Demonstrative pronouns as markers of indirect anaphora. Technical report. Serie Azul, N 31, CIC, IPN, ISBN 970-18-3327-9, 1999, 7 pp.
492. Mikhail Alexandrov, Alexander Gelbukh. Measures for determining thematic structure of documents with Domain Dictionaries. Proc. Text Mining workshop at 16th International Joint Conference on Artificial Intelligence (IJCAI'99), Stockholm, Sweden, July 31 – August 6, 1999, pp. 10–12.
493. Alexander Gelbukh, Grigori Sidorov, Adolfo Guzmán-Arenas. Text categorization using a hierarchical topic dictionary. Proc. Text Mining workshop at 16th International Joint Conference on Artificial Intelligence (IJCAI'99), Stockholm, Sweden, July 31 – August 6, 1999, pp. 34–35.
494. Manuel Montes y Gómez, Aurelio López López, Alexander Gelbukh. Text mining as a social thermometer. Proc. Text Mining workshop at 16th International Joint Conference on Artificial Intelligence (IJCAI'99), Stockholm, Sweden, July 31 – August 6, 1999, pp. 103–107.
495. Manuel Montes y Gómez, Aurelio López López, Alexander Gelbukh. Extraction of document Intentions from titles. Proc. Text Mining workshop at 16th International Joint Conference on Artificial Intelligence (IJCAI'99), Stockholm, Sweden, July 31 – August 6, 1999, pp. 101–102.
496. Alexander Gelbukh, Grigori Sidorov. Word choice problem and anaphora resolution. Proc. International Symposium on Machine Translation & Computer Language Information Processing (ISMT&CLIP) Beijing, China, June 26–28, 1999.
497. A.Gelbukh, I. Bolshakov, S. Galicia-Haro. Statistics of parsing errors can help syntactic disambiguation. Proc. CIC-98, Simposium Internacional de Computación, November 11 - 13, 1998, Mexico D.F., ISBN 970-18-1916-0, pp. 405–515.
498. I. Bolshakov, A. Gelbukh. Lexical functions in Spanish. Proc. CIC-98, Simposium Internacional de Computación, November 11–13, 1998, Mexico D.F., ISBN 970-18-1916-0, pp. 383–395.
▪ Bolshakov, Igor A., Alexander F. Gelbukh. Algebra of Spanish lexical functions. In: A. de Albornoz Bueno et al. (eds.), Selected Works 1997–1998, Instituto Politécnico Nacional, Centro de Investigación en Computación, ISBN 970-18-3427-5, 1999, pp. 25–37.
499. A. Gelbukh, I. Bolshakov, S. Galicia Haro. Automatic Learning of a Syntactical Government Patterns Dictionary from Web-Retrieved Texts. Proc. International Conference on Automatic Learning and Discovery, Carnegie Mellon University, Pittsburgh, PA, USA, June 11 - 13, pp. 261–267, 1998.
500. A.F. Gelbukh. Using a semantic network for lexical and syntactical disambiguation. Proc. CIC-97, Nuevas Aplicaciones e Innovaciones Tecnológicas en Computación, Simposium Internacional de Computación, 12–14, 1997, CIC, IPN, Mexico City, Mexico, pp. 352–366.
Revised version:
▪ Alexander F. Gelbukh. Disambiguation with lexical semantic distance. In: A. de Albornoz Bueno et al. (eds.), Selected Works 1997–1998, Instituto Politécnico Nacional, Centro de Investigación en Computación, ISBN 970-18-3427-5, 1999, pp. 150–170.
Note: This list is possbly incomplete. The most up-to-date version of this document is on www.Gelbukh.com/CV.