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2024

Does Sentiment and Emotion affect Mental Health? A Multi-task Classification Framework for Comprehensive Understanding of Mental Health, Emotion, and Sentiment from Motivational Conversations

Pathak, A., Bhattacharjee, S., Saha, T., & Saha, S. (n.d.). Does Sentiment and Emotion affect Mental Health? A Multi-task Classification Framework for Comprehensive Understanding of Mental Health, Emotion, and Sentiment from Motivational Conversations. ACM Transactions on Computing for Healthcare. doi:10.1145/3704740

DOI
10.1145/3704740
Journal article

"Reasoning before Responding": Towards Legal Long-form Question Answering with Interpretability

Ujwal, U., Surampudi, S. S. H., Mitra, S., & Saha, T. (2024). "Reasoning before Responding": Towards Legal Long-form Question Answering with Interpretability. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 4922-4930). ACM. doi:10.1145/3627673.3680082

DOI
10.1145/3627673.3680082
Conference Paper

Report on the 1st Symposium on NLP for Social: Good (NSG 2023)

Sen, P., Saha, T., & Bollegala, D. (2023). Report on the 1st Symposium on NLP for Social: Good (NSG 2023). ACM SIGIR Forum, 57(2), 1-9. doi:10.1145/3642979.3642989

DOI
10.1145/3642979.3642989
Journal article

2023

Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection

Tomar, M., Tiwari, A., Saha, T., & Saha, S. (2023). Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 3926-3933). ACM. doi:10.1145/3581783.3612528

DOI
10.1145/3581783.3612528
Conference Paper

'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes

Chandra, M., Ganguly, D., Saha, T., & Ounis, I. (2023). 'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 3768-3772). ACM. doi:10.1145/3583780.3615261

DOI
10.1145/3583780.3615261
Conference Paper

Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT)

Saha, T., Ganguly, D., Saha, S., & Mitra, P. (2023). Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT). In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 5290-5293). ACM. doi:10.1145/3583780.3615311

DOI
10.1145/3583780.3615311
Conference Paper

Mental Health Disorder Identification From Motivational Conversations

Saha, T., Reddy, S. M., Saha, S., & Bhattacharyya, P. (2023). Mental Health Disorder Identification From Motivational Conversations. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 10(3), 1130-1139. doi:10.1109/TCSS.2022.3143763

DOI
10.1109/TCSS.2022.3143763
Journal article

Can you Summarize my learnings? Towards Multi-modal Perspective-based Educational Dialogue Summarization

Jain, R., Saha, T., Lalwani, J., & Saha, S. (2023). Can you Summarize my learnings? Towards Multi-modal Perspective-based Educational Dialogue Summarization. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 3158-3173).

Conference Paper

2022

Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification

Saha, T., Patra, A., Saha, S., & Bhattacharyya, P. (n.d.). Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification.

Conference Paper

Domain Infused Conversational Response Generation for Tutoring based Virtual Agent

Jain, R., Saha, T., Chakraborty, S., & Saha, S. (2022). Domain Infused Conversational Response Generation for Tutoring based Virtual Agent. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn55064.2022.9892890

DOI
10.1109/ijcnn55064.2022.9892890
Conference Paper

Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network

Saha, T., & Ananiadou, S. (2022). Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn55064.2022.9892592

DOI
10.1109/ijcnn55064.2022.9892592
Conference Paper

Towards Motivational and Empathetic Response Generation in Online Mental Health Support

Saha, T., Gakhreja, V., Das, A. S., Chakraborty, S., & Saha, S. (2022). Towards Motivational and Empathetic Response Generation in Online Mental Health Support. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2650-2656). ACM. doi:10.1145/3477495.3531912

DOI
10.1145/3477495.3531912
Conference Paper

A persona aware persuasive dialogue policy for dynamic and co-operative goal setting

Tiwari, A., Saha, T., Saha, S., Sengupta, S., Maitra, A., Ramnani, R., & Bhattacharyya, P. (2022). A persona aware persuasive dialogue policy for dynamic and co-operative goal setting. Expert Systems with Applications, 195, 116303. doi:10.1016/j.eswa.2021.116303

DOI
10.1016/j.eswa.2021.116303
Journal article

A Multitask Multimodal Ensemble Model for Sentiment- and Emotion-Aided Tweet Act Classification

Saha, T., Upadhyaya, A., Saha, S., & Bhattacharyya, P. (2022). A Multitask Multimodal Ensemble Model for Sentiment- and Emotion-Aided Tweet Act Classification. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 9(2), 508-517. doi:10.1109/TCSS.2021.3088714

DOI
10.1109/TCSS.2021.3088714
Journal article

A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony

Saha, T., Reddy, S., Das, A., Saha, S., & Bhattacharyya, P. (2022). A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony. In NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 2436-2449).

Conference Paper

GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization

Xie, Q., Huang, J., Saha, T., & Ananiadou, S. (2022). GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. In Proceedings - International Conference on Computational Linguistics, COLING Vol. 29 (pp. 6259-6269).

Conference Paper

Towards Sentiment-Aware Multi-Modal Dialogue Policy Learning

Saha, T., Saha, S., & Bhattacharyya, P. (2022). Towards Sentiment-Aware Multi-Modal Dialogue Policy Learning. COGNITIVE COMPUTATION, 14(1), 246-260. doi:10.1007/s12559-020-09769-7

DOI
10.1007/s12559-020-09769-7
Journal article

2021

A Unified Dialogue Management Strategy for Multi-intent Dialogue Conversations in Multiple Languages

Saha, T., Gupta, D., Saha, S., & Bhattacharyya, P. (2021). A Unified Dialogue Management Strategy for Multi-intent Dialogue Conversations in Multiple Languages. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 20(6). doi:10.1145/3461763

DOI
10.1145/3461763
Journal article

A hierarchical approach for efficient multi-intent dialogue policy learning

Saha, T., Gupta, D., Saha, S., & Bhattacharyya, P. (2021). A hierarchical approach for efficient multi-intent dialogue policy learning. MULTIMEDIA TOOLS AND APPLICATIONS, 80(28-29), 35025-35050. doi:10.1007/s11042-020-09070-7

DOI
10.1007/s11042-020-09070-7
Journal article

A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health

Saha, T., Chopra, S., Saha, S., Bhattacharyya, P., & Kumar, P. (2021). A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn52387.2021.9533924

DOI
10.1109/ijcnn52387.2021.9533924
Conference Paper

A Transformer based Multi-task Model for Domain Classification, Intent Detection and Slot-Filling

Saha, T., Priya, N., Saha, S., & Bhattacharyya, P. (2021). A Transformer based Multi-task Model for Domain Classification, Intent Detection and Slot-Filling. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn52387.2021.9533525

DOI
10.1109/ijcnn52387.2021.9533525
Conference Paper

Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting

Tiwari, A., Saha, T., Saha, S., Sengupta, S., Maitra, A., Ramnani, R., & Bhattacharyya, P. (2021). Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn52387.2021.9533878

DOI
10.1109/ijcnn52387.2021.9533878
Conference Paper

A dynamic goal adapted task oriented dialogue agent

Tiwari, A., Saha, T., Saha, S., Sengupta, S., Maitra, A., Ramnani, R., & Bhattacharyya, P. (2021). A dynamic goal adapted task oriented dialogue agent. PLOS ONE, 16(4). doi:10.1371/journal.pone.0249030

DOI
10.1371/journal.pone.0249030
Journal article

Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework

Saha, T., Gupta, D., Saha, S., & Bhattacharyya, P. (2021). Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework. COGNITIVE COMPUTATION, 13(2), 277-289. doi:10.1007/s12559-019-09704-5

DOI
10.1007/s12559-019-09704-5
Journal article

Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter

Saha, T., Upadhyaya, A., Saha, S., & Bhattacharyya, P. (2021). Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter. In NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 5727-5737).

Conference Paper

2020

Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning

Saha, T., Gupta, D., Saha, S., & Bhattacharyya, P. (2020). Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning. EXPERT SYSTEMS WITH APPLICATIONS, 162. doi:10.1016/j.eswa.2020.113650

DOI
10.1016/j.eswa.2020.113650
Journal article

BERT-Caps: A Transformer-Based Capsule Network for Tweet Act Classification

Saha, T., Ramesh Jayashree, S., Saha, S., & Bhattacharyya, P. (2020). BERT-Caps: A Transformer-Based Capsule Network for Tweet Act Classification. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 7(5), 1168-1179. doi:10.1109/TCSS.2020.3014128

DOI
10.1109/TCSS.2020.3014128
Journal article

A Transformer based Approach for Identification of Tweet Acts

Saha, T., Patra, A. P., Saha, S., & Bhattacharyya, P. (2020). A Transformer based Approach for Identification of Tweet Acts. In 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/ijcnn48605.2020.9207484

DOI
10.1109/ijcnn48605.2020.9207484
Conference Paper

Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning

Saha, T., Saha, S., & Bhattacharyya, P. (2020). Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning. In 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/ijcnn48605.2020.9206954

DOI
10.1109/ijcnn48605.2020.9206954
Conference Paper

Reinforcement Learning Based Personalized Neural Dialogue Generation

Saha, T., Chopra, S., Saha, S., & Bhattacharyya, P. (2020). Reinforcement Learning Based Personalized Neural Dialogue Generation. In Unknown Conference (pp. 709-716). Springer International Publishing. doi:10.1007/978-3-030-63820-7_81

DOI
10.1007/978-3-030-63820-7_81
Conference Paper

Towards Emotion-aided Multi-modal Dialogue Act Classification

Saha, T., Patra, A. P., Saha, S., & Bhattacharyya, P. (2020). Towards Emotion-aided Multi-modal Dialogue Act Classification. In 58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020) (pp. 4361-4372). Retrieved from https://www.webofscience.com/

Conference Paper

Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning

Saha, T., Saha, S., & Bhattacharyya, P. (2020). Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning. PLOS ONE, 15(7). doi:10.1371/journal.pone.0235367

DOI
10.1371/journal.pone.0235367
Journal article

2019

Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification

Saha, T., Srivastava, S., Firdaus, M., Saha, S., Ekbal, A., & Bhattacharyya, P. (2019). Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn.2019.8851943

DOI
10.1109/ijcnn.2019.8851943
Conference Paper

Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter

Saha, T., Saha, S., & Bhattacharyya, P. (2019). Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn.2019.8851805

DOI
10.1109/ijcnn.2019.8851805
Conference Paper

2018

Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling

Saha, T., Saha, S., & Bhattacharyya, P. (2018). Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling. In Unknown Conference (pp. 214-225). Springer International Publishing. doi:10.1007/978-3-030-04167-0_20

DOI
10.1007/978-3-030-04167-0_20
Conference Paper

Reinforcement Learning Based Dialogue Management Strategy

Saha, T., Gupta, D., Saha, S., & Bhattacharyya, P. (2018). Reinforcement Learning Based Dialogue Management Strategy. In Unknown Conference (pp. 359-372). Springer International Publishing. doi:10.1007/978-3-030-04182-3_32

DOI
10.1007/978-3-030-04182-3_32
Conference Paper