Navonil Majumder
B n.majumder.2009@gmail.com Í nlp.cic.ipn.mx/~navonil/
Education
Centro de Investigación en Computación, IPN Mexico City, Mexico
Ph.D. Student of Computer Science 2017 Present
Thesis : Natural Language Understanding and Generation in
Conversation with Deep Learning-Based Techniques
Advisors: Dr. Alexander Gelbukh, Dr. Soujanya Poria
Centro de Investigación en Computación, IPN Mexico City, Mexico
Master in Computer Science, Honours 2015 2017
Thesis : Multimodal Sentiment Analysis in Social Media using
Deep Learning with Convolutional Neural Networks
Advisor: Dr. Alexander Gelbukh
Jadavpur University Kolkata, India
Bachelor in Computer Science and Engineering, First Class Honours 2009 2013
Publications
Journal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1. N. Majumder
, S. Poria, H. Peng, N. Chhaya, E. Cambria, A. Gelbukh. Sentiment and Sarcasm Classification With Multitask Learning. IEEE
Intelligent Systems, vol. 34(3), pp. 38–43 (2019). ISSN 1541-1672. doi:10.1109/MIS.2019.2904691.
JCR impact factor: 2.596
2.
S. Poria,
N. Majumder
, R. Mihalcea, E. Hovy. Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances. IEEE
Access, pp. 1–1 (2019). ISSN 2169-3536. doi:10.1109/ACCESS.2019.2929050.
JCR impact factor: 4.098
3. N. Majumder
, D. Hazarika, A. Gelbukh, E. Cambria, S. Poria. Multimodal sentiment analysis using hierarchical fusion with context modeling.
Knowledge-Based Systems, vol. 161, pp. 124 133 (2018). ISSN 0950-7051. doi:10.1016/j.knosys.2018.07.041.
JCR impact factor: 4.396
4.
S. Poria,
N. Majumder
, D. Hazarika, E. Cambria, A. Gelbukh, A. Hussain. Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up
the Baselines. IEEE Intelligent Systems, vol. 33(6), pp. 17–25 (2018). ISSN 1541-1672. doi:10.1109/MIS.2018.2882362.
JCR impact factor: 2.596
5. N. Majumder
, S. Poria, A. Gelbukh, E. Cambria. Deep Learning-Based Document Modeling for Personality Detection from Text. IEEE Intelligent
Systems, vol. 32(2), pp. 74–79 (2017). ISSN 1541-1672. doi:10.1109/MIS.2017.23.
JCR impact factor: 3.532
Conference. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
6. N. Majumder
, S. Poria, D. Hazarika, R. Mihalcea, A. Gelbukh, E. Cambria. DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.
In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 6818–6825 (2019). doi:10.1609/aaai.v33i01.33016818
7.
S. Poria, D. Hazarika,
N. Majumder
, G. Naik, E. Cambria, R. Mihalcea. MELD: A Multimodal Multi-Party Dataset for Emotion Recognition
in Conversations. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, pp. 527–536. Association for
Computational Linguistics, Florence, Italy (2019)
8.
G. Krishnamurthy,
N. Majumder
, S. Poria, E. Cambria. A Deep Learning Approach for Multimodal Deception Detection. In: Computational
Linguistics and Intelligent Text Processing, vol. abs/1803.00344 (2018)
9. N. Majumder
, S. Poria, A. Gelbukh, M. S. Akhtar, E. Cambria, A. Ekbal. IARM: Inter-Aspect Relation Modeling with Memory Networks in
Aspect-Based Sentiment Analysis. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3402–3411.
Association for Computational Linguistics, Brussels, Belgium (2018)
10.
A. Zadeh, P. P. Liang,
N. Majumder
, S. Poria, E. Cambria, L.-P. Morency. Memory Fusion Network for Multi-view Sequential Learning. In: AAAI
Conference on Artificial Intelligence (2018)
11.
S. Poria, E. Cambria, D. Hazarika,
N. Majumder
, A. Zadeh, L. Morency. Multi-level Multiple Attentions for Contextual Multimodal Sentiment
Analysis. In: 2017 IEEE International Conference on Data Mining (ICDM), pp. 1033–1038 (2017). ISSN 2374-8486. doi:10.1109/ICDM.2017.134
12.
S. Poria, E. Cambria, D. Hazarika,
N. Majumder
, A. Zadeh, L.-P. Morency. Context-Dependent Sentiment Analysis in User-Generated Videos. In:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 873–883. Association for
Computational Linguistics, Vancouver, Canada (2017)
Active Collaborations
{ Computational Intelligence Lab, NTU, Singapore
{ School of Computing, NUS, Singapore
{ The Language and Information Technologies Lab, UMich, USA
Reviewer of Journals
{ Information Fusion
{ Cognitive Computation
PC Member of Conferences
{ EMNLP 2019
{ NAACL 2019
{ AAAI 2019
{ CIACSA 2019
{ Student chair of CORE 2016
Technical Skills
Programming languages : Python, C, C++, Java, Bash Script
NN Frameworks
: PyTorch, Theano, Keras