Conference Publications on NLP/Information Extraction/Text Mining

  1. Priya, P., Chigrupaatii, R., Firdaus, M. & Ekbal, A. (2025). GENTEEL- NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-based Reinforcement Learning Approach for Polite Negotiation Dialogue. In Proc of The 39th Annual AAAI Conference on Artificial Intelligence (accepted) (Core-A*, h5-index- 220)
  2. Misra, K., Burja, M. & Ekbal, A. (2025). Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities. Proc of The 39th Annual AAAI Conference on Artificial Intelligence (accepted) (Core-A*, h5-index- 220)
  3. Zafar, A., Misra, K. & Ekbal, A. (2025). MedEx: Enhancing Medical Question- Answering with First-Order Logic based Reasoning and Knowledge Injection. In Proc. of COLING 2025 (accepted) (h5-index: 65)
  4. Gain, B., Bandyopadhyay, D., Mukherjee, S., Sahoo, A., Dana, S., Kodeswaran, P., Sen, S., Ekbal, A. & Garg, D. (2025). Transforming Code Understanding: Clustering- Based Retrieval for Improved Summarization in Domain-Specific Languages In Proc. of COLING 2025 Industry Track (accepted) (with IBM Research)
  5. Singh, G., Vemulapalli, S., Firdaus, M., Ekbal, A. (2024). Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM- Based Detection and Reasoning Framework. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 22546-22570 (Core- A*, h5-index: 193)
  6. Mamta, M., Chigrupaatii, R., Ekbal, A. (2024). BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 21059-21070 (Core-A*, h5-index: 193)
  7. Mishra, K., Burja, M., Ekbal, A. (2024). ABLE: Personalized Disability Support with Politeness and Empathy Integration. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 22445-22470 (Core- A*, h5-index: 193)
  8. Priya, P., Yasheshbhai, D., Joshi, R., Ramnani, R., Maitra, A., Sengupta, S., Ekbal, A. (2024). TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism. Findings of the Association for Computational Linguistics: EMNLP 2024, 16566-16595 (with Accenture)
  9. Khan, A., Saikh, T., Phukan, A., Ekbal, A. (2024). Hope ‘The Paragraph Guy’ explains the rest: Introducing MeSum, the Meme Summarizer. Findings of the Association for Computational Linguistics: EMNLP 2024, 6654-6668.
  10. Phukan, A., Gupta, M., & Ekbal, A. (2024). ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) (Core-A*, h5-index: 193), 14411-14436
  11. Zafar, Aizan, Mishra, K. & Ekbal, A. (2024). MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures. Findings of the Association for Computational Linguistics: EMNLP 2024: 16844- 16867
  12. Kumar, S., Sahu, M., Gacche, V., Ghosal, T. & Ekbal, A. (2024). Quis custodiet ipsos custodes? & Who will watch the watchmen? On Detecting AI-generated peer- reviews. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP): 22663-22679
  13. Bandyopadhyay, D., Hasanuzzaman, M. & Ekbal, A. (2024). Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes. Findings of the Association for Computational Linguistics: EMNLP 2024: 10715-10731
  14. Kumari, G., Jain, K. & Ekbal, A. (2024). M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP): 22105-22138
  15. Mamta, M., Singh, G., Kori, D. R., Ekbal, A. (2024). Aspect-Based Multimodal Mining: Unveiling Sentiments, Complaints, and Beyond in User-Generated Content. Proceedings of the 32nd ACM International Conference on Multimedia, 6433-6442. (Core- A*, h5-index: 101)
  16. Priya, P., Singh, G., Firdaus, M., Agrawal, J., Ekbal, A. (2024). On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good. Findings of the Association for Computational Linguistics: NAACL 2024, 4678-4696 (Core-A, h5-index: 132)
  17. Kumari, G., Bandyopadhyay, D., Ekbal, A., Narayana Murthy, V. B. (2024). CM-Off- Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (h5-index - 59)
  18. Kumar, S., Kohli, G. S., Ghosal, T., Ekbal, A. (2024). Long-form Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (h 5-index: 59)
  19. Singh, G., Firdaus, M., Chauhan, D. S., Ekbal, A., Bhattacharyya, P. (2024). Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence, 38 (17), 18981-18989 (Core - A*, h5-index - 220)
  20. Ghosh, S., Singh, G., Arora, J., Ekbal, A. (2024). Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation. Proceedings of the AAAI Conference on Artificial Intelligence, 38 (20), 22040-22048 (Core - A*, h5-index - 220)
  21. Kumari, G., Adak, C., Ekbal, A. (2024). Mu2STS: A Multitask Multimodal Sarcasm- Humor-Differential Teacher-Student Model for Sarcastic Meme Detection. European Conference on Information Retrieval, 19-37 (Core - A, h5-index - 30)
  22. Kumari, G., Sinha, A., Ekbal, A. (2024). Unintended Bias Detection and Mitigation in Misogynous Memes. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Core - A, h5-index - 56)
  23. Bandyopadhyay, D., Ganguli, A., Gain, B., & Ekbal, A. (2024). SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution. In Proc of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (Core- A*, h5-index: 133)
  24. Singh, G., Ghosh, S., Dcruze, N., & Ekbal, A. (2024). From Pink and Blue to a Rainbow Hue! Defying Gender Bias Through Gender Neutralizing Text Transformations. In Proc of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (AI for Social Good) (Core-A*, h5-index: 133)
  25. Kumari, G., Adak, C., & Ekbal, A. (2024). Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection. In Proc. of ECIR (3) 2024, 19-37 (from Wipro funding) (Core-A)
  26. Mishra, K., Priya, P., Burja, M., & Ekbal, A. (2023). e-THERAPIST: I suggest you cultivate a mindset of positivity and nurture uplifting thoughts. In Proc. of EMNLP, 13952-13967 (Core-A*, h5-index: 176)
  27. Singh, G., Ghosh, S., Verma, A., Painkra, C., & Ekbal, A. (2023). Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts. In Proc. of EMNLP, 4517-4532 (Core-A*, h5- index: 176)
  28. Mamta, Ahmed, Z., & Ekbal, A. (2023). Elevating Code-mixed Text Handling through Auditory Information of Words. In Proc. of EMNLP, 4517-4532, 15918- 15932 (Core-A*, h5-index: 176)
  29. Kumar, S., Ghosal, T., & Ekbal, A. (2023). When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. In Proc. of EMNLP, 16693-16704 (Core- A*, h5-index: 176)
  30. Ahmad, Z., Saurabh, S., Menon, V. S., Ekbal, A. , Ramnani, R. & Maitra, A.(2023). INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward- Based Dialogue Agent. In Findings of EMNLP 2023, 2536-2549 (from Accenture funding) (Core-A*, h5-index: 176)
  31. Gain, B., Appicharla, R., Chennabasavaraj, S., Garera, N., Ekbal, A., & Chelliah, M. (2023). Reference Free Domain Adaptation for Translation of Noisy Questions with Question-Specific Rewards. In Findings of EMNLP 2023, 207-221 (from Flipkart funding) (Core-A*, h5-index: 176)
  32. Mishra, K., Priya, P., & Ekbal, A. (2023). PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 1254-12271, Canada Toronto (Core-A*, h5-index: 219)
  33. Priya, P., Mishra, K., & Ekbal, A. (2023). PARTNER: A Persuasive Mental Health and Legal Counseling Dialogue System for Women and Children Crime Victims. In the 32nd International Joint Conference on Artificial Intelligence (IJCAI), AI for Social Good Track, Macao, S.A.R. (Core-A*, h5-index: 133)
  34. Singh, G., Ghosh, S., & Ekbal, A. (2023). Promoting Gender Equality through Gender-biased Language Analysis in Social Media. In the 32nd International Joint Conference on Artificial Intelligence (IJCAI), AI for Social Good Track, Macao, S.A.R</li>
  35. Kumari, G., Shinde, P., & Ekbal, A. (2023). The Persuasive Memescape: Understanding Effectiveness and Societal Implications of Internet Memes. In Proc. of AACL/IJCNLP 2023
  36. Firdaus, M., Priya, P., & Ekbal, A. (2023). Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational Systems. In Proc. of IJCNLP-AACL 2023
  37. Kumar, S., Kohli, G., Ghosal, T., & Ekbal, A. (2023). Towards Leveraging Multi- Perspective Peer Review Summaries for Scientific Document Summarization. In Proc. of 25th International Conference on Asia-Pacific Digital Libraries (ICADL- 2023), Taiwan
  38. Appicharla, R., Gain, B., Pal, S., & Ekbal, A. (2023). A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation. In Proc. of MT Summit 2023
  39. Bandyopadhyay, D., & Ekbal, A. (2023). Unsupervised Text Style Transfer Through Differentiable Back Translation and Rewards. In 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 210-221, Osaka, Japan (Core-A)
  40. Bandyopadhyay, D., Zafar, A., Hasanuzzaman, M., & Ekbal, A. (2023). End to End Sign Language Translation via Multitask Learning. In International Joint Conference on Neural Networks (IJCNN), 1-8
  41. Ahmad, Z., Mishra, K., Ekbal, A., & Bhattacharyya, P. (2023). RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System. In Proc. of EACL 2023, 3464- 3476 (Core-A)
  42. Madasu, A., Firdaus, M., & Ekbal, A. (2023). A Unified Framework for Emotion Identification and Generation in Dialogues. In EACL (Student Research Workshop) 2023, 73-78
  43. Mamta, & Ekbal, A. (2023). Service Is Good, Very Good or Excellent? Towards Aspect-Based Sentiment Intensity Analysis. In Proc. of ECIR (1) 2023, 685-700 (Core-A)
  44. Bandyopadhyay, D., Kumari, G., Ekbal, A., Pal, S., Chatterjee, A., & BN, Vinutha. (2023). A Knowledge Infusion Based Multitasking System for Sarcasm Detection in Meme. In Proc. of ECIR (1) 2023, 101-117 (Core-A)
  45. Gain, B., Appicharla, R., Chennabasavaraj, S., Garera, N., Ekbal, A., & Chelliah, M. (2023). Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine Translation. In Proc. of the Seventh Conference on Machine Translation (WMT), 949-954
  46. Singh, G. V., Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2023). DeCoDE: Detection of Cognitive Distortion and Emotion Cause Extraction in Clinical Conversations. In Proc. of ECIR (2) 2023, 156-171 (Core-A)
  47. Mishra, K., Priya, P., & Ekbal, A. (2023). Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims. In Proc. of AAAI 2023 (h5-index: 180; Core-A*)
  48. Gain, B., Appicharla, R., Ekbal, A., Chelliah, M., Chennabasavraj, S., & Garera, N. (2022). Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. In Proc. AMTA 2022, 83-96 (with Flipkart)
  49. Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2022). Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes. In Proc. of IJCAI-ECAI 2022 (AI for Social Good Track), 5573-5579 (Core-A*, h5- index: 133)
  50. Varshney, D., Zafar, A., Behera, N., & Ekbal, A. (2022). CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation. In Proc. of EMNLP 2022, 11373-11385 (Core-A*, h5-index: 176)
  51. Chauhan, D. S., Ekbal, A., & Bhattacharyya, P. (2022). An Efficient Fusion Mechanism for Multimodal Low-resource Setting. In Proc. of SIGIR, 2583-2588, Madrid, Spain, July 11-15, 2022 (Core-A*)
  52. Arora, A., Dias, G., Jatowt, A., & Ekbal, A. (2022). Transfer Learning for Humor Detection by Twin Masked Yellow Muppets. In Proc. of AACL/IJCNLP (2) 2022, 1- 7
  53. Gupta, V., Kumari, R., Ashok, N., Ghosal, T., & Ekbal, A. (2023). MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection. In Proc of AACL/IJCNLP (Findings) 2022, 464-477
  54. Mamta, & Ekbal, A. (2022). Adversarial Sample Generation for Aspect-Based Sentiment Classification. In Proc. of AACL/IJCNLP (Findings) 2022, 478-492
  55. Varshney, D., Prabhakar, A., & Ekbal, A. (2022). Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation. In Proc of NAACL-HLT 2022, 1322-1335, July 10-15, USA (Core-A; h5-index: 105)
  56. Samad, A., Mishra, K., Firdaus, M., & Ekbal, A. (2022). Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems. In Proceedings of NAACL-HLT 2022 (Findings), 844-856, July 10-15, USA (Core-A; h5-index: 105)
  57. Kumar, S., Arora, H., Ghosal, T., & Ekbal, A. (2022). DeepASPeer: Towards an Aspect-level Sentiment Controllable Framework for Decision Prediction in Peer Reviews. In IEEE/ACM Joint Conference on Digital Libraries (JCDL 2022), 29:1- 29:11 (best student paper award)
  58. Mishra, K., Samad, A., Totala, P., & Ekbal, A. (2022). PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation. In 29th International Conference on Computational Linguistics (COLING), 424-440, October 12-17, Korea (Core-A, h5-index-58)
  59. Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2022). PoliSe: Reinforcing Politeness using User Sentiment for Customer Care Response Generation. In 29th International Conference on Computational Linguistics (COLING), 6165-6175, October 12-17, Korea (Core-A; h5-index: 58)
  60. Chauhan, D. S., Singh, G. V., Arora, A., Ekbal, A., & Bhattacharyya, P. (2022). A Sentiment and Emotion aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting. In the 29th International Conference on Computational Linguistics (COLING), 6752-6761, October 12-17, Korea
  61. Ghosh, S., Maurya, D., Ekbal, A., & Bhattacharyya, P. (2022). EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes. In the 29th International Conference on Computational Linguistics (COLING), 1098-1105, October 12-17, Korea
  62. Ghosh, S., Singh, G. V., Ekbal, A., & Bhattacharyya, P. (2022). COMMA-DEER: COmmon-sense aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations. In the 29th International Conference on Computational Linguistics (COLING), 6978-6990, October 12-17, Korea
  63. Bandyopadhyay, D., De, A., Gain, B., Saikh, T., & Ekbal, A. (2022). A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference. In Proc. of LREC 2022
  64. Mamta, Ekbal, A., Bhattacharyya, P., Srivastava, S., Kumar, A., & Saha, T. (2022). HindiMD: A Multi-domain Corpora for Fine-grained Emotion and Sentiment Analysis in Hindi. In LREC 2022
  65. Agarwal, A., Gite, R., Laddha, S., Bhattacharyya, P., Kar, S., Ekbal, A., Thind, P., Zele, R., & Shankar, R. (2022). Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. In Proc. of LREC 2022
  66. Singh, G. V., Priya, P., Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2022). EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues. In Proc. of LREC 2022
  67. Gain, B., Appicharla, R., Ekbal, A., Chelliah, M., Chennabasavraj, S., & Garera, N. (2022). Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. In Proc. of AMTA 2022: 83-96
  68. Ghosh, S., Roy, S., Ekbal, A., & Bhattacharyya, P. (2022). CARES: CAuse Recognition for Emotion in Suicide Notes. In Proc. of ECIR (2) 2022: 128-136
  69. Firdaus, M., Thakur, N., & Ekbal, A. (2022). Sentiment Guided Aspect Conditioned Dialogue Generation in a Multimodal System. In Proc. of ECIR (1) 2022: 199-214. (Core-A)
  70. Gupta, K. K., Chennabasavaraj, S., Garera, N., & Ekbal, A. (2022). Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E- Commerce Neural Machine Translation. In Proc. of EAMT 2022: 239-246
  71. Gupta, K. K., Kumari, D., Chennabasavaraj, S., Garera, N., & Ekbal, A. (2022). ReviewMT: Sentiment Preserved E-Commerce Review Translation System. In Proc. of COMAD/CODS 2022: 275-279
  72. Kumar, A., Ghosal, T., Bhattacharjee, S., & Ekbal, A. (2022). Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline. In Proc. of TPDL 2022: 216-229
  73. Firdaus, M., Chauhan, H., Ekbal, A., & Bhattacharyya, P. (2021). More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation. In Association for the Advancement of Artificial Intelligence (AAAI): 12821-12829
  74. Varshney, D., Ekbal, A., & Bhattacharyya, P. (2021). Modelling Context Emotions using Multi-task Learning for Emotion-Controlled Dialogue Generation. In European Chapter of the Association for Computational Linguistics (EACL): 2919-2931
  75. Kumar, A., Ghosal, T., & Ekbal, A. (2021). Deep Neural Architecture for Decision- Aware Meta-Review Generation. In IEEE/ACM Joint Conference on Digital Libraries (JCDL 2021): 222-225
  76. Chauhan, D. S., Singh, D., Majumder, N., Zadeh, A., Ekbal, A., Bhattacharyya, P., Morency, L. P., & Poria, S. (2021). M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. In Proc. of ICMI 2021: 773-777
  77. Kumar, S., Ghosal, T., Bharti, P., & Ekbal, A. (2021). Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews. In Proc. of IEEE/ACM Joint Conference on Digital Libraries (JCDL 2021): 270-273
  78. Gupta, K., Ahmaad, A., Ghosal, T., & Ekbal, A. (2021). ContriSci: A BERT-based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers. In Proc. of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021): LNCS, 13133, 436-452
  79. Kumar, S., Ghosal, T., & Ekbal, A. (2021). DataQuest: An Approach To Automatically Extract Dataset Mentions From Scientific Papers. In Proc. of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021): LNCS, 13133, 43-53
  80. Firdaus, M., Jain, U., Ekbal, A., & Bhattacharyya, P. (2021). SEPRG: Sentiment aware Emotion controlled Personalized Response Generation. In Proc. of the 14th International Conference on Natural Language Generation (INLG): 353-363
  81. Bharti, P., Ranjan, S., Ghosal, T., Agrarwal, M., & Ekbal, A. (2021). PEERAssist: Leveraging on Paper-Review Interactions To Predict Peer Review Decisions. In Proc. of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021): LNCS, 13133, 421-435
  82. Raj, H., Gupta, D., & Ekbal, A. (2021). Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation. In Proc. of the Empirical Methods of Natural Language Processing (EMNLP 2021) (Findings): 1753-1767
  83. Gupta, K., Soumya, C., Garera, N., & Ekbal, A. (2021). Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation. In Proc. of Machine Translation Summit XVIII: Research Track: 243-255
  84. Kumari, D., Soumya, C., Garera, N., & Ekbal, A. (2021). Sentiment Preservation in Review Translation using Curriculum-based Reinforcement Framework. In Proc. of 18th Biennial Machine Translation Summit (Machine Translation Summit XVIII: Research Track): 155-162
  85. Gupta, K., Boppana, D., Haque, R., Ekbal, A., & Bhattacharyya, P. (2021). Investigating Active Learning in Interactive Neural Machine Translation. In Proc. of 18th Biennial Machine Translation Summit (Machine Translation Summit XVIII: Research Track): 10-22
  86. Rane, C., Dias, G., Lechervy, A., & Ekbal, A. (2021). Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. In Special Interest Group in Information Retrieval (SIGIR): 2197-2201
  87. Roy, A., & Ekbal, A. (2021). MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification. In International Joint Conference on Neural Networks (IJCNN): 1-8
  88. Firdaus, M., Thakur, N., & Ekbal, A. (2021). Multi-Aspect Controlled Response Generation in a Multimodal Dialogue System using Hierarchical Transformer Network. In International Joint Conference on Neural Networks (IJCNN): 1-8
  89. Firdaus, M., Shandilya, A. P., Pujari, S. P., & Ekbal, A. (2021). Attribute Centered Multimodal Response Generation in a Dialogue System. In International Joint Conference on Neural Networks (IJCNN): 1-8
  90. Kumar, R., Chauhan, D., Dias, G., & Ekbal, A. (2021). Modelling Personalized Dialogue Generation in Multi-Party Settings. In International Joint Conference on Neural Networks (IJCNN): 1-8
  91. Gain, B., Haque, R., & Ekbal, A. (2021). Not All Contexts are Important: The Impact of Effective Context in Conversational Neural Machine Translation. In International Joint Conference on Neural Networks (IJCNN): 1-8
  92. Ahmad, Z., Ekbal, A., Sengupta, S., Maitra, A., Ramnani, R., Bhattacharyya, P. (2021). Unsupervised Approach for Knowledge-Graph Creation from Conversation: The Use of Intent Supervision for Slot Filling. In International Joint Conference on Neural Networks (IJCNN): 1-8
  93. Ahmad, Z., Kumar, A., & Ekbal, A. (2021). Emotion driven Crisis Response: A benchmark Setup for Multi-lingual Emotion Analysis in Disaster Situations. In International Joint Conference on Neural Networks (IJCNN): 1-8
  94. Ghosh, S., Varshney, D., Ekbal, A., & Bhattacharyya, P. (2021). Context and Knowledge Enriched Transformer Framework for Emotion Recognition in Conversations. In International Joint Conference on Neural Networks (IJCNN): 1-8
  95. Rane, C., Dias, G., Lechervy, A., & Ekbal, A. (2021). Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. In Proc. of SIGIR 2021: 2197- 2201
  96. Gupta, D., Ekbal, A., & Bhattacharyya, P. (2020). A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning. In Proc. of EMNLP (Findings) 2020: 2267-2280
  97. Chauhan, D. S., R., Dhanush, Ekbal, A., & Bhattacharyya, P. (2020). Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis. In Proc. of ACL 2020: 4351-4360
  98. Sundararaman, M. N., Ahmad, Z., Ekbal, A., & Bhattacharyya, P. (2020). Unsupervised Aspect-Level Sentiment Controllable Style Transfer. In Proc. of AACL- IJCNLP 2020: 303-312
  99. Firdaus, M., Thakur, N., & Ekbal, A. (2020). MultiDM-GCN: Aspect-Guided Response Generation in Multi-Domain Multi-Modal Dialogue System using Graph Convolution Network. In Proc. of EMNLP (Findings) 2020: 2318-2328. (Core-A; h5- index: 154)
  100. Chauhan, D. S., R., Dhanush, Ekbal, A., & Bhattacharyya, P. (2020). All-in- One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes. In Proc. of AACL-IJCNLP 2020: 281-290
  101. Gupta, D., Lenka, P., Ekbal, A., & Bhattacharyya, P. (2020). A Unified Framework for Multilingual and Code-Mixed Visual Question Answering. In Proc. of AACL-IJCNLP 2020: 900-913
  102. Gupta, D., Chauhan, H., Akella, R., Ekbal, A., & Bhattacharyya, P. (2020). Reinforced Multi-task Approach for Multi-hop Question Generation. In Proc. of COLING 2020: 2760-2775
  103. Firdaus, M., Thakur, N., & Ekbal, A. (2020). MultiDM-GCN: Aspect-guided Response Generation in Multi-domain Multi-modal Dialogue System using Graph Convolutional Network. In Proc. of EMNLP Findings 2020: 2318-2328
  104. Sahoo, S. K., Saha, S., Ekbal, A., & Bhattacharyya, P. (2020). A Platform for Event Extraction in Hindi. In Proc. of The 12th Language Resources and Evaluation Conference (LREC): 2241–2250
  105. Ghosh, S., Ekbal, A., & Bhattacharyya, P. (2020). CEASE, a Corpus of Emotion Annotated Suicide notes in English. In Proc. of The 12th Language Resources and Evaluation Conference (LREC): 1618-1626
  106. Mamta, Ekbal, A., Bhattacharyya, P., Srivastava, S., Kumar, A., Saha, T. (2020). Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation. In Proc. of The 12th Language Resources and Evaluation Conference (LREC): 5046-5054
  107. Saikh, T., Ekbal, A., & Bhattacharyya, P. (2020). ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension. In Proc. of The 12th Language Resources and Evaluation Conference (LREC): 5498-5504
  108. Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multilingual Empathetic Dialogue Agent. In Proc. of The 12th Language Resources and Evaluation Conference (LREC): 4171-4182
  109. Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multilingual Empathetic Dialogue Agent. In Proc. of The 12th Language Resources and Evaluation Conference (LREC): 4171-4182. (h5 index: 49)
  110. Chauhan, H., Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2019). Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System. In Proceedings of Association for Computational Linguistics (ACL), pp. 5437-5447. (Core-A*; h5 index-169)
  111. Firdaus, M., Chauhan, H., Ekbal, A., & Bhattacharyya, P. (2020). MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations. In Proceedings of COLING 2020, pp. 4441-4453. (Core-A; h5 index-58)
  112. Chauhan, D. S., Akhtar, M. S., Ekbal, A., & Bhattacharyya, P. (2019). Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. In Proceedings of EMNLP-IJNLP 2019, pp. 5646-5656, Hong Kong, China, Nov 3-7, 2019
  113. Ghosal, T., Verma, R., Ekbal, A., & Bhattacharyya, P. (2019). DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions. In Proceedings of Association for Computational Linguistics (ACL), pp. 1120-1130
  114. Sen, S., Gupta, K. K., Ekbal, A., & Bhattacharyya, P. (2019). Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders. In Proceedings of Association for Computational Linguistics (ACL), pp. 3083-3089
  115. Yadav, S., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019). A Unified Multi- task Adversarial Learning Framework for Pharmacovigilance Mining. In Proceedings of Association for Computational Linguistics (ACL), pp. 5234-5245
  116. Golchha, H., Firdaus, M., Ekbal, A., & Bhattacharyya, P. (2019). Courteously Yours: Inducing Courteous Behavior in Customer Care Responses using Reinforced Pointer Generator Network. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 851-860, 2019. (Core-A; h5 index-105)
  117. Akhtar, M. S., Chauhan, D. S., Ghosal, D., Poria, S., Ekbal, A., & Bhattacharyya, P. (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 370-379, Minneapolis, USA. (Core-A; h5 index-105)
  118. Ghosal, T., Raj, A., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019). A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 227-236, June 2-6, 2019, Urbana-Champaign, Illinois. (Core-A*)
  119. Ghosal, T., Raj, A., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019). A Deep Multimodal Investigation To Determine the Appropriateness of Scholarly Submissions. In Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL). (Core-A*)
  120. Ghosal, T., Dey, D., Dutta, A., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019). A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review. In Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 392-393, June 2-6, 2019, Urbana-Champaign, Illinois. (Core- A*)
  121. Ghosal, T., Ekbal, A., Saha, S., Bhattacharyya, P., & Sonam, R. (2019). Is the Paper Within Scope? Are You Fishing in the Right Pond? In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 237-240, June 2-6, 2019, Urbana-Champaign, Illinois
  122. Ghosal, T., Verma, R., Ekbal, A., & Bhattacharyya, P. (2019). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. In Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 414-415, June 2-6, 2019, Urbana-Champaign, Illinois
  123. Majumder, N., Poria, S., Gelbukh, A. F., Akhtar, M. S., Cambria, E., & Ekbal, A. (2018). 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 (EMNLP), pp. 3402-3411
  124. Ghosal, T., Chakraborty, A., Sonam, R., Ekbal, A., Saha, S., & Bhattacharyya, P. (2019). Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 374-375, June 2-6, 2019, Urbana-Champaign, Illinois
  125. Akhtar, M. S., Kumar, A., Ekbal, A., Biemann, C., & Bhattacharyya, P. (2019). Language-Agnostic Model for Aspect-Based Sentiment Analysis. In Proceedings of IWCS (1) 2019, pp. 154-164
  126. Ghosal, D., Akhtar, M. S., Chauhan, D. S., Poria, S., Ekbal, A., & Bhattacharyya, P. (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In Proceedings of EMNLP, pp. 3454-3464, November 2-4, 2018, Brussels, Belgium
  127. Ghosal, T., Salam, A., Tiwary, S., Ekbal, A., & Bhattacharyya, P. (2018). TAP-DLND 1.0: A Corpus for Document Level Novelty Detection. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC)
  128. Yadav, S., Ekbal, A., Saha, S., & Bhattacharyya, P. (2018). Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC)
  129. Gupta, D., Ekbal, A., & Bhattacharyya, P. (2018). A Deep Neural Network- based Approach for Entity Extraction in Code-Mixed Indian Social Media Text. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC)
  130. Kamila, S., Ekbal, A., & Bhattacharyya, P. (2018). Sentence Level Temporality Detection using an Implicit Time-sensed Resource. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC)
  131. Gupta, D., Lenka, P., Ekbal, A., & Bhattacharyya, P. (2018). MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC)
  132. Majumder, N., Poria, S., Akhtar, M. S., Cambria, E., Gelbukh, A., & Ekbal, A. (2018). Modeling Inter-Aspect Relation in Aspect-Based Sentiment Analysis. In Proceedings of EMNLP, pp. 3402-3411, November 2-4, 2018, Brussels, Belgium
  133. Gupta, D., Pujari, R., Ekbal, A., Bhattacharyya, P., Maitra, A., Jain, T., & Sengupta, S. (2018). Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy. In Proceedings of COLING, pp. 499-513, August 20-26, 2018, Santa Fe, New Mexico, USA
  134. Ghosal, T., Edithal, V., Ekbal, A., Bhattacharyya, P., Kumar Chivukula, S. S., & Tsatsaronis, G. (2018). Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. In Proceedings of COLING, pp. 2802-2813, August 20-26, 2018, Santa Fe, New Mexico, USA
  135. Yadav, S., Ekbal, A., Saha, S., & Bhattacharyya, P. (2018). Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. In Proceedings of NAACL-HLT, pp. 271-277, New Orleans, Louisiana, June 1-6, 2018. (h5 index-133; Core-A)
  136. Akhtar, M. S., Sawant, P., Sen, S., Ekbal, A., & Bhattacharyya, P. (2018). Solving Data Sparsity for Aspect-based Sentiment Analysis using Cross-linguality and Multi-linguality. In Proceedings of NAACL-HLT, pp. 572-582, New Orleans, Louisiana, June 1-6, 2018. (h5 index-133; Core-A)
  137. Kamila, S., Hasanuzzaman, M., Ekbal, A., Bhattacharyya, P., & Way, A. (2018). Fine-grained Temporal Orientation and its Relationship with Psycho- demographic Correlates. In Proceedings of NAACL-HLT, pp. 663-674, New Orleans, Louisiana, June 1-6, 2018. (h5 index-133; Core-A)
  138. Gupta, D., Lenka, P., Ekbal, A., & Bhattacharyya, P. (2018). Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural-based Question Answering. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pp. 119-130, 2018. (Core- A)
  139. Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In EMNLP 2018: 3454-3466
  140. Hasanuzzaman, M., Kamila, S., Kaur, M., Saha, S., & Ekbal, A. (2017). Temporal Orientation of Tweets for Predicting Income of User. In Proceedings of the Association for Computational Linguistics (ACL) 2017, pp. 659-665, July 30, 2017- August 04, 2017, Canada. (Core-A*)
  141. Akhtar, M. S., Kumar, A., Ghosal, D., Ekbal, A., & Bhattacharyya, P. (2017). A Multilayer Perceptron-based Ensemble Technique for Fine-grained Financial Sentiment Analysis. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 540-546
  142. Yadav, S., Ekbal, A., Saha, S., & Bhattacharyya, P. (2017). Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO-based Feature Selection. In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL 2017), April 3-7, Valencia, Spain
  143. Akhtar, M. S., Kumar, A., Ekbal, A., & Bhattacharyya, P. (2016). A Hybrid Deep Learning Architecture for Sentiment Analysis. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), 11-16 Dec 2016, Osaka, Japan
  144. Yadav, S., Ekbal, A., Saha, S., & Bhattacharyya, P. (2016). A Deep Learning Architecture for Protein-Protein Interaction Article Identification. In Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), pp. 3128-3133
  145. Akhtar, M. S., Ekbal, A., & Bhattacharyya, P. (2016). Aspect-based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In Proceedings of LREC
  146. Pawar, D., Hasanuzzaman, M., & Ekbal, A. (2016). Building Tempo- HindiWordNet: A Resource for Effective Temporal Information Access in Hindi. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC)
  147. Sikdar, U. K., Ekbal, A., & Saha, S. (2012). Differential Evolution-based Feature Selection and Classifier Ensemble for Named Entity Recognition. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), pp. 2475-2490
  148. Ekbal, A., Saha, S., Uryupina, O., & Poesio, M. (2011). Multiobjective Simulated Annealing-based Approach for Feature Selection in Anaphora Resolution. In Proceedings of Anaphora Processing and Applications - 8th Discourse Anaphora and Anaphor Resolution Colloquium (DAARC), pp. 47-58
  149. Saha, S., Ekbal, A., Uryupina, O., & Poesio, M. (2011). Single and Multi- objective Optimization for Feature Selection in Anaphora Resolution. In Proceedings of the Fifth International Joint Conference on Natural Language Processing (IJCNLP) 2011, pp. 93-101
  150. Ekbal, A., Saha, S., Garbe, C. S. (2010). Feature Selection Using Multiobjective Optimization for Named Entity Recognition. In Proceedings of the 20th International Conference on Pattern Recognition (ICPR) 2010, Istanbul, Turkey, 23-26 August 2010, pp. 1937-1940
  151. Ekbal, A., Haque, R., Bandyopadhyay, S. (2008). Named Entity Recognition in Bengali: A Conditional Random Field Approach. In Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP) 2008, Hyderabad, India, January 7-12, 2008, pp. 589-594
  152. Ekbal, A., Naskar, S. K., Bandyopadhyay, S. (2006). A Modified Joint Source-Channel Model for Transliteration. In Proceedings of COLING/ACL 2016, Sydney, Australia, 17-21 July 2006, pp. 191-198