Recent Publications:
1. P Sam Sahil, A. Jamatia, “Team A at SemEval-2025 Task 11: Breaking Language Barriers in Emotion Detection with Multilingual Models” Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), July 31–August 1, 2025, Pages 73–82.
2. T.B. Devi, A. Jamatia, D. Rudrapal and K. Chakma, “A Dataset Development for Fake News Detection in Low-Resource Romanized Manipuri” 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Feb 2025, Pages 472–478, doi: 10.1109/ISACC65211.2025.10969315
3. S. Bhowmik, A. Jamatia, D. Rudrapal and K. Chakma, “Biomedical Lay Summarization: Research Progress and Challenges” 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Feb 2025, Pages 472–478, doi: 10.1109/ISACC65211.2025.10969258
4. S. Datta, K. Chakma, D. Rudrapal and A. Jamatia, “Mapping the Linguistic Landscape: Progress Towards a Bengali FrameNet” Procedia Computer Science, Volume 258, May 2025, Pages 3814–3825, https://doi.org/10.1016/j.procs.2025.04.636
5. Chakma Kunal, Jamatia Anupam, and Rudrapal Dwijen, “Identification and Summarization of Events from Twitter using Clustering Algorithms and Deep Neural Network”, Natural Language Engineering (NLE) Journal, https://doi.org/10.1017/nlp.2024.47
6. M. V.R., Chakma, K., Jamatia, A., Rudrapal, D., “An innovative Telugu text summarization framework using the pointer network and optimized attention layer.” Multimedia Tools and Applications (2024). https://doi.org/10.1007/s11042-024-19187-8
7. Paul, B., Rudrapal, D., Chakma, K., Jamatia, A. “Multimodal Machine Translation Approaches for Indian Languages: A Comprehensive Survey.” Journal of Universal Computer Science (J.UCS). Accepted January 2024. In press.
8. Chakraborty, D., Rudrapal, D., Bhattacharya, B., “A multimodal sentiment analysis approach for tweets by comprehending co-relations between information modalities.” Multimedia Tools and Applications (2023). https://doi.org/10.1007/s11042-023-17569-y
9. Aparajita Sinha and Kunal Chakma, “A Comparative Analysis of Sentiment Analysis and Emotion Detection Problems on Texts.” FICTA 2022, Springer, pp. 465–475. DOI: https://doi.org/10.1007/978-981-19-7524-0_41
10. Aparajita Sinha and Kunal Chakma, “A Comparative Analysis of Machine Learning Based Sentiment Analysis.” ISAI 2022, Springer CCIS vol. 1695, pp. 123–132. DOI: https://doi.org/10.1007/978-3-031-22485-0_12
11. Rizvi, A., Jamatia, A., Rudrapal, D., Chakma, K., Gambäck, B. (2023). “Cross-Lingual Speaker Identification for Indian Languages.” Proceedings of RANLP, pp. 975–983.
12. Jamatia, A., Swamy, S. D., Gambäck, B., Das, A., Debbarma, S. (2020). “Deep Learning Based Sentiment Analysis in a Code-Mixed English-Hindi and English-Bengali Social Media Corpus.” International Journal on Artificial Intelligence Tools.
13. Kunal Chakma, Steve D. Swamy, Amitava Das, Swapan Debbarma, “5W1H-based Semantic Segmentation of Tweets for Event Detection using BERT.” MIND-2020, Springer CCIS vol. 1240, pp. 57–72. DOI: https://doi.org/10.1007/978-981-15-6315-7_5
14. Jamatia, A., Das, A., Gambäck, B. (2018). “Deep Learning-Based Language Identification in English-Hindi-Bengali Code-Mixed Social Media Corpora.” Journal of Intelligent Systems.
15. Swamy, S.D., Jamatia, A., Gambäck, B. (2019). “Studying Generalisability across Abusive Language Detection Datasets.” Proceedings of CoNLL 2019, Hong Kong.
16. Kunal Chakma, Rohit Chakraborty, Shubhanshu K. Singh, “Finding Correlation Between Twitter Influence Metrics and Centrality Measures for Detection of Influential Users.” ICCIDM 2018, Springer vol. 990, pp. 51–62. DOI: https://doi.org/10.1007/978-981-13-8676-3_5
17. Rudrapal, D., Jamatia, A., Chakma, K., Das, A., Gambäck, B. (2015). “Sentence Boundary Detection for Social Media Text.” ICON-2015, pp. 254–260.
18. Jamatia, A., Gambäck, B., Das, A. (2015). “Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages.” Proceedings of RANLP, pp. 239–248.