In Proceedings of Conferences
Ghosh, S.*, Singh, G. V.*, Shambhavi, Choudhary, S., & Ekbal, A. Just a scratch: Enhancing LLM capabilities for self-harm detection through intent differentiation and emoji interpretation. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Main, Vienna, Austria, July 27-August 1 2025. [*equal contribution] (Accepted)
Singh, G. V.*, Ghosh, S.*, Dcruze, N., & Ekbal, A. From pink and blue to a rainbow hue! defying gender bias through gender neutralizing text transformations. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI). (2024, August). [*equal contribution]
Ghosh, S.*, Singh, G. V.*, Arora, J., & Ekbal, A. (2024, March). Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). [*equal contribution]
Singh, G.*, Ghosh, S.*, Painkra C, & Ekbal, A. (2023), Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts, In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, December 6-10, 2023 [* equal contribution]
Singh, G.*, Ghosh, S.*, & Ekbal, A. (2023), Promoting Gender Equality through Gender-biased Language Analysis in Social Media, In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI) (AI and Social Good), Macao, China, August 19-25, 2023 [* equal contribution]
Singh, G.*, Ghosh, S.*, Ekbal, A., & Bhattacharyya, P. (2023). DeCoDE: Detection of Cognitive Distortion and Emotion cause extraction in clinical conversations. In 45th European Conference on Information Retrieval (ECIR), Dublin, Ireland, April 2-6, 2023 [* equal contribution]
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2022), Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes, In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI) (AI for Good Track), Vienna, Austria, July 23-29, 2022.
Ghosh, S.*, Singh, G.*, Ekbal, A., & Bhattacharyya, P. (2022). COMMA-DEER: COmmon-sense aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations. In 29th International Conference on Computational Linguistics (COLING), Gyeongju, South Korea, October 12-17, 2022. [* equal contribution]
Ghosh, S., Maurya, D., Ekbal, A., & Bhattacharyya, P. (2022). EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes. In 29th International Conference on Computational Linguistics (COLING), Gyeongju, South Korea, October 12-17, 2022.
Ghosh, S., Roy, S., Ekbal, A., & Bhattacharyya, P. (2022), CARES: CAuse Retrieval for Emotion in Suicide notes, 44th European Conference on Information Retrieval (ECIR), Stavanger, Norway (pp. 128-136).
Ghosh, S., Varshney, D., Ekbal, A., & Bhattacharyya, P. (2021, July). Context and Knowledge Enriched Transformer Framework for Emotion Recognition in Conversations. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2020, May). Cease, a corpus of emotion-annotated suicide notes in English. In Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020) (pp. 1618-1626).
In Refereed Journals
Singh, G. V., Ghosh, S., Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2025), Unmasking offensive content: a multimodal approach with emotional understanding. Multimedia Tools and Applications, 1-24..
Singh, G. V., Ghosh, S., Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2024), Predicting multi-label emojis, emotions, and sentiments in code-mixed texts using an emojifying sentiments framework. Scientific Reports, Nature, 14(1), 12204.
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2023), VAD-assisted Multitask Transformer Framework for Emotion Recognition and Intensity Prediction on Suicide Notes. Information Processing and Management (IPM), Elsevier, 60(2), 103234.
Ghosh, S., Priyankar, A., Ekbal, A., & Bhattacharyya, P. (2023), Multitasking of Sentiment Detection and Emotion Recognition in Code-Mixed Hinglish Data. Knowledge-Based Systems (KBS), Elsevier, 110182.
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2022), Deep Multi-Network Cascades based Multi-task Framework for Detection of Temporal Orientation, Sentiment and Emotion from Suicide Notes. Scientific Reports, Nature, 12(1), pp.1-16.
Ghosh, S., Priyankar, A., Ekbal, A., & Bhattacharyya, P. (2022), A Transformer-based Multitask Framework for Joint Detection of Aggression and Hate on Social Media Data. Natural Language Engineering (NLE), Cambridge University Press (in press).
Ghosh, S., Ekbal, A., Bhattacharyya, P., Saha T., Kumar A. & Srivastava S. (2022), SEHC: A Benchmark Setup to Identify Online Hate Speech in English. IEEE Transactions on Computational Social Systems (IEEE TCSS).
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2021). What Does Your Bio Say? Inferring Twitter Users' Depression Status From Multimodal Profile Information Using Deep Learning. IEEE Transactions on Computational Social Systems (IEEE TCSS).
Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2021). A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes. Cognitive Computation, Springer, 1-20.