Conferences

  1. Arpan Phukan, Manish Gupta, Asif Ekbal (2024). ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos. (with Manish, Microsoft). EMNLP Main Track.

  2. Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal. (2024). Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews. EMNLP Main Track.

  3. Kshitij Mishra, Manisha Burja, Asif Ekbal.. (2024) ABLE: Personalized Disability Support with Politeness and Empathy Integration. EMNLP Main Track.

  4. Mamta, Rishikant Chigrupaatii, Asif Ekbal (2024). BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability. EMNLP Main Track.

  5. Gopendra Vikram Singh, Sai Vardhan Vemulapalli, Mauajama Firdaus, Asif Ekbal. (2024) Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework. EMNLP Main Track.

  6. Gitanjali Kumari, Kirtan Jain, Asif Ekbal (2024). M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought. EMNLP Main Track.

  7. Aizan Zafar, Kshitij Mishra, Asif Ekbal (2024) MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures. EMNLP Findings.

  8. Priyanshu Priya, Desai Vishesh Yasheshbhai, Ratnesh Kumar Joshi, Roshni Ramnani, ANUTOSH MAITRA, Shubhashis Sengupta, Asif Ekbal (2024). TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism (with Accenture). EMNLP Findings.

  9. Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal (2024) Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes. EMNLP Findings.

  10. Anas Anwarul Haq Khan, Tanik Saikh, Arpan Phukan, Asif Ekbal. (2024) Hope `The Paragraph Guy’ explains the rest : Introducing MeSum, the Meme Summarizer. EMNLP Findings.

  11. R. Appicharla, B. Gain, S. Pal, A. Ekbal and P. Bhattacharyya (2024). A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning. In the 25th Annual Conference of The European Association for Machine Translation

  12. P. Priya, G.V singh, M. Firdaus, J. Agrawal, A. Ekbal (2024). On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good. In NAACL (Findings)

  13. Mamta, Gopendra Vikam Singh, Deepak Kori, Asif Ekbal (2024). Aspect-Based Multimodal Mining: Unveiling Sentiments, Complaints, and Beyond in User-Generated Content, In ACM Multimedia-2024

  14. D. Bandyopadhyay, A. Ganguli, B. Gain and A. Ekbal (2024). SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution. In Proc of IJCAI 2024 (accepted) (Core-A*, h5-index: 133).

  15. G. Singh, S. Ghosh, Neil Dcruze, A. Ekbal (2024). From Pink and Blue to a Rainbow Hue! Defying Gender Bias Through Gender Neutralizing Text Transformations. In Proc of IJCAI 2024 (AI for Social Good) (accepted) (Core-A*, h5-index: 133).

  16. Gopendra Vikram Singh, Mauajama Firdaus, Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya (2024). Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning. In Proc. of AAAI 2024: 18981-18989 (Core-A*, h5-index: 212).

  17. Soumitra Ghosh, Gopendra Vikram Singh, Jashn Arora, Asif Ekbal (2024). Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation. In Proc. of AAAI 2024: 22040-22048 (Core-A*, h5-index: 212)

  18. Gitanjali Kumari, Anubhav Sinha, Asif Ekbal (2024). Unintended Bias Detection and Mitigation in Misogynous Memes. In Proc. of EACL (1) 2024: 2719-2733 (from Wipro funding) (Core-A)

  19. Gitanjali Kumari, Chandranath Adak, Asif Ekbal (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)

  20. K. Mishra, P. Priya, M. Burja, A. Ekbal (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)

  21. Gopendra Singh, S Ghosh, A. Verma, C. Painkra, A. Ekbal (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)

  22. Mamta , Z. Ahmed, Asif Ekbal (2023). Elevating Code-mixed Text Handling through Auditory Information of Words. In Proc. of EMNLP, 4517-4532, 15918-15932 (Core-A*, h5-index: 176)

  23. S. Kumar, Tirthankar Ghosal, Asif Ekbal (2023). When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. In Proc. of EMNLP, 16693-16704 (Core-A*, h5-index: 176).

  24. Z. Ahmad, S. Saurabh, V. S. Menon, A. Ekbal, R. Ramnani, A. Maitra (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)

  25. Baban Gain, Ramakrishna Appicharla, S. Chennabasavaraj, N. Garera, Asif Ekbal, M. Chelliah (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).

  26. K. Mishra, P. Priya and A. Ekbal (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), Canada Toronto. (Core-A*, h5-index: 192)

  27. P. Priya, K. Mishra, A. Ekbal (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)

  28. G. Singh, S. Ghosh and A. Ekbal (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.

  29. G. Kumari, P. Shinde and A. Ekbal (2023). The Persuasive Memescape: Understanding Effectiveness and Societal Implications of Internet Memes. In Proc of AACL/IJCNLP 2023.

  30. M. Firdaus, P. Priya and A. Ekbal (2023). Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational Systems. In Proc of IJCNLP-AACL 2023.

  31. S. Kumar, G. Kohli, T. Ghosal and A. Ekbal (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.

  32. R. Apprichalla, B. Gain, S. Pal and A. Ekbal (2023). A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation. In Proc. of MT Summit 2023.

  33. D. Bandyopadhyay and A. Ekbal (2023). Unsupervised Text Style Transfer Through Differentiable Back Translation and Rewards. In the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 210-221, Osaka, Japan. (Core-A)

  34. D. Bandyopadhyay, A. Zafar, M. Hasanuzzaman, and A. Ekbal (2023). End to End Sign Language Translation via Multitask Learning. In the International Joint Conference on Neural Networks (IJCNN), 1-8

  35. Zishan Ahmad, Kshitij Mishra, Asif Ekbal, Pushpak Bhattacharyya (2023). RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System. In Proc. of EACL 2023: 3464-3476 (Core-A)

  36. Avinash Madasu, Mauajama Firdaus, Asif Ekbal (2023). A Unified Framework for Emotion Identification and Generation in Dialogues. EACL (Student Research Workshop) 2023: 73-78

  37. Mamta, Asif Ekbal (2023). Service Is Good, Very Good or Excellent? Towards Aspect Based Sentiment Intensity Analysis. In Proc. of ECIR (1) 2023: 685-700 (Core-A)

  38. Dibyanayan Bandyopadhyay, Gitanjali Kumari, Asif Ekbal, Santanu Pal, Arindam Chatterjee, Vinutha BN (2023). A Knowledge Infusion Based Multitasking System for Sarcasm Detection in Meme. In Proc. of ECIR (1) 2023: 101-117 (Core-A) (with Wipro, the industry partner) (Core-A)

  39. B Gain, R Appicharla, S Chennabasavaraj, N Garera, A Ekbal, M Chelliah (2023). Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine Translation. In Proceedings of the Seventh Conference on Machine Translation (WMT), 949-954

  40. Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2023). DeCoDE: Detection of Cognitive Distortion and Emotion Cause Extraction in Clinical Conversations. In Proc. of ECIR (2) 2023: 156-171 (Core-A)

  41. K. Mishra, P. Priya and A. Ekbal (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*)

  42. Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Muthusamy Chelliah, Soumya Chennabasavraj, Nikesh Garera (2022). Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. In Proc. AMTA 2022: 83-96 (with Flipkart)

  43. Soumitra Ghosh, Asif Ekbal, Pushpak BhattacharFyya (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), pp. 5573-5579(Core-A*, h5-index: 133)

  44. Deeksha Varshney, Aizan Zafar, Niranshu Behera, Asif Ekbal (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).

  45. Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya (2022). An Efficient Fusion Mechanism for Multimodal Low-resource Setting. In Proc. of SIGIR, pp. 2583-2588, Madrid, Spain, July 11-15, 2022. (Core-A*)

  46. Aseem Arora, Gaël Dias, Adam Jatowt, Asif Ekbal (2022). Transfer Learning for Humor Detection by Twin Masked Yellow Muppets. In Proc. of AACL/IJCNLP (2) 2022: 1-7

  47. Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal (2023). MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection. In Proc of AACL/IJCNLP (Findings) 2022: 464-477.

  48. Mamta, Asif Ekbal (2022). Adversarial Sample Generation for Aspect based Sentiment Classification. In Proc. of AACL/IJCNLP (Findings) 2022: 478-492

  49. D. Varshney, A. Prabhakar and A. Ekbal (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)

  50. A. Samad, K. Mishra, M. Firdaus and A. Ekbal (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).

  51. Kumar, S., Arora, H, Ghosal, T. and Ekbal, A. (2022). DeepASPeer: Towards an Aspect-level Sentiment Controllable Framework for Decision Prediction in Peer Reviews.IEEE/ACM Joint Conference on Digital Libraries (JCDL 2022), 2022: 29:1-29:11 (best student paper award).

  52. K. Mishra, A. Samad, P. Totala and A. Ekbal (2022). PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation. In 29th International Conference on Computational Linguistics (COLING), pp. 424-440, October 12-17, Korea (Core-A. h5 index-58)

  53. M. Firdaus, A. Ekbal and P. Bhattacharyya (2022). PoliSe: Reinforcing Politeness using User Sentiment for Customer Care Response Generation. In 29th International Conference on Computational Linguistics (COLING), pp. 6165-6175, October 12-17, Korea (Core-A; h5-index: 58)

  54. D. Chauhan, G. Singh, A. Arora, A. Ekbal and P. Bhattacharyya (2022). A Sentiment and Emotion aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting . In 29th International Conference on Computational Linguistics (COLING), pp. 6752-6761, October 12-17, Korea

  55. S. Ghosh, D. Maurya, A. Ekbal and P. Bhattacharyya (2022). EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes. In 29th International Conference on Computational Linguistics (COLING), pp. 1098-1105, October 12-17, Korea (Core-A)

  56. S. Ghosh, G. Singh, A. Ekbal and P. Bhattacharyya (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. (Core-A)

  57. Dibyanayan Bandyopadhyay, Arkadipta De, Baban Gain, Tanik Saikh and Asif Ekbal (2022). A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference. In Proc. of LREC 2022.

  58. Mamta ., Asif Ekbal, Pushpak Bhattacharyya, Shikha Srivastava, Alka Kumar and Tista Saha (2022). HindiMD: A Multi-domain Corpora for Low-resource Sentiment Analysis. In Proc. of LREC 2022.

  59. Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele and Ravi Shankar (2022). Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. In Proc. of LREC 2022.

  60. Gopendra Vikram Singh, Priyanshu Priya, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (2022). EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues. In Proc. of LREC 2022.

  61. Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Muthusamy Chelliah, Soumya Chennabasavraj, Nikesh Garera (2022). Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair. In Proc. of AMTA 2022: 83-96

  62. Soumitra Ghosh, Swarup Roy, Asif Ekbal, Pushpak Bhattacharyya (2022). CARES: CAuse Recognition for Emotion in Suicide Notes. In Proc of ECIR (2) 2022: 128-136.

  63. Mauajama Firdaus, Nidhi Thakur, Asif Ekbal (2022). Sentiment Guided Aspect Conditioned Dialogue Generation in a Multimodal System. In Proc. of ECIR (1) 2022: 199-214. (Core-A)

  64. Gopendra Vikram Singh, Dushyant Singh Chauhan, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2022). Are Emoji, Sentiment, and Emotion Friends? A Multi-task Learning for Emoji, Sentiment, and Emotion Analysis. In Proc of PACLIC 2022: 166-174

  65. Tirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya (2022). Novelty Detection in Community Question Answering Forums. In Proc of PACLIC 2022: 525-532

  66. Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal (2022). Can a Machine Generate a Meta-Review? How Far Are We? In Proc of TSD 2022: 275-287

  67. Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal (2022). Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation. In Proc of EAMT 2022: 239-246

  68. Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal (2022). ReviewMT: Sentiment Preserved E-Commerce Review Translation System. In Proc. of COMAD/CODS 2022: 275-279.

  69. Asheesh Kumar, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal (2022). Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline. in Proc. TPDL 2022: 216-229

  70. 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.

  71. 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.

  72. Kumar, A., Ghosal, T., Ekbal, A. (2021): Deep Neural Architecture for Decision-Aware Meta-Review Generation. IEEE/ACM Joint Conference on Digital Libraries (JCDL 2021), 222-225

  73. Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-Philippe Morency, Soujanya Poria (2021). M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. In Proc. of ICMI 2021: 773-777.

  74. 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 (2021). IEEE/ACM Joint Conference on Digital Libraries (JCDL 2021),270-273.

  75. 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: Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021), LNCS, 13133, 436-452.

  76. Kumar, S., Ghosal, T., Ekbal, A. (2021): DataQuest: An Approach To Automatically Extract Dataset Mentions From Scientific Papers. In: Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021), LNCS, 13133, 43-53.

  77. M. Firdaus, U. Jain, A. Ekbal and P. Bhattacharyya (2021). SEPRG: Sentiment aware Emotion controlled Personalized Response Generation. In Proc. of the 14th International Conference on Natural Language Generation (INLG), 353-363.

  78. Bharti, P., Ranjan, S., Ghosal, T., Agrarwal, M., Ekbal, A. (2021): PEERAssist: Leveraging on Paper-Review Interactions To Predict Peer Review Decisions. In: Proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021), LNCS, 13133, 421-435.

  79. Raj, H., Gupta, D., Ekbal, A. (2021): Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation. In: Proceedings of the Empirical Methods of Natural Language Processing (EMNLP 2021) (Findings), 1753-1767.

  80. Firdaus, M., Jain, U., Ekbal, A., Bhattacharyya, P. (2021): SEPRG: Sentiment aware Emotion controlled Personalized Response Generation. In: 14th International Conference on Natural Language Generation (INLG), 353-363.

  81. Gupta, K., Soumya, C., Garera, N., Ekbal, A. (2021): Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation. In: Machine Translation Summit XVIII: Research Track, 243-255.

  82. Kumari, D., Soumya, C., Garera., N., Ekbal, A. (2021): Sentiment Preservation in Review Translation using Curriculum-based Reinforcement Framework. In: 18th Biennial Machine Translation Summit, (Machine Translation Summit XVIII: Research Track), 155-162.

  83. Gupta, K., Boppana, D., Haque, R.*, Ekbal, A., Bhattacharyya, P. (2021): Investigating Active Learning in Interactive Neural Machine Translation. In: 18th Biennial Machine Translation Summit, (Machine Translation Summit XVIII: Research Track), 10-22.

  84. 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.

  85. Roy, A., Ekbal, A. (2021): MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification. In: International Joint Conference on Neural Networks (IJCNN), 1-8.

  86. 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.

  87. 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.

  88. 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.

  89. 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.

  90. 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.

  91. Ahmad, Z., Kumar, A., Ekbal, A., Bhattacharyya, P. (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.

  92. 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.

  93. K. Gupta, Soumya, C, N. Garera, A. Ekbal (2021). Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation. In Proceedings of MT Summit 2021, PP. 243-255.

  94. K. Gupta, D, Boppana, R. Haque, A. Ekbal and P. Bhattacharyya (2021). Investigating Active Learning in Interactive Neural Machine Translation. In Proceedings of MT Summit 2021, PP. 10-22.

  95. Chinmay Rane, Gaël Dias, Alexis Lechervy and Asif Ekbal (2021). Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. In Proc of SIGIR, 2021: 2197-2201.

  96. Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya (2020). A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning. In Proceedings of EMNLP (Findings) 2020: 2267-2280

  97. Dushyant Singh Chauhan, Dhanush R., Asif Ekbal and Pushpak Bhattacharyya (2020). Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis. In Proceedings of ACL 2020, PP. 4351-4360.

  98. Mukuntha Narayanan Sundararaman, Zishan Ahmad, Asif Ekbal and Pushpak Bhattacharyya (2020). Unsupervised Aspect-Level Sentiment Controllable Style Transfer. In Proceedings of AACL-IJCNLP 2020, PP. 303-312.

  99. Mauajama Firdaus, Nidhi Thakur, Asif Ekbal (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. Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal and Pushpak Bhattacharyya (2020). All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes (2020). In Proceedings of AACL-IJCNLP 2020, PP. 281-290.

  101. Deepak Gupta, Pabitra Lenka, Asif Ekbal and Pushpak Bhattacharyya (2020). A Unified Framework for Multilingual and Code-Mixed Visual Question Answering (2020). In Proceedings of AACL-IJCNLP 2020, PP. 900-913.

  102. D.Gupta, H. Chauhan, R. Akella, A. Ekbal and P. Bhattacharyya (2020). Reinforced Multi-task Approach for Multi-hop Question Generation. In Proceedings of COLING 2020, pp. 2760-2775.

  103. M. Firdaus, N. Thakur and A. Ekbal (2020). MultiDM-GCN: Aspect-guided Response Generation in Multi-domain Multi-modal Dialogue System using Graph Convolutional Network. In Proceedings of EMNLP Findings 2020, PP. 2318-2328.

  104. Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya. (2020). A Platform for Event Extraction in Hindi. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC). pp. 2241–2250.

  105. Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya. (2020). CEASE, a Corpus of Emotion Annotated Suicide notes in English. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC). pp. 1618-1626.

  106. Mamta, Asif Ekbal, Pushpak Bhattacharyya, Shikha Srivastava, Alka Kumar, Tista Saha (2020). Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC). pp. 5046-5054.

  107. Tanik Saikh, Asif Ekbal, Pushpak Bhattacharyya (2020). ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC), pp. 5498-5504.

  108. Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multilingual Empathetic Dialogue Agent. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC), pp. 4171-4182.

  109. Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multilingual Empathetic Dialogue Agent. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC), pp. 4171-4182. (h5 index: 49)

  110. Hardik Chauhan, Mauzama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (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. M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations. Proceedings of COLING 2020, pp. 4441-4453. (Core-A. h5 index-58)

  112. Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya, 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. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions. In Proceedings of Association for Computational Linguistics (ACL), pp. 1120-1130.

  114. Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya (2019). Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders. In Proceedings of Association for Computational Linguistics (ACL), pp. 3083-3089.

  115. S. Yadav, A. Ekbal, S. Saha and P. Bhattacharyya (2019). A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining. In Proceedings of Association for Computational Linguistics (ACL), pp. 5234-5245.

  116. Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, and Pushpak Bhattacharyya (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. Md Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, and Pushpak Bhattacharyya (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.

  118. Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (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. Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (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. Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (2019). A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review. In proceedings the 19th (ACM/IEEE) Joint Conference on Digital Libraries (JCDL). pp. 392-393. June 2-6, 2019. Urbana-Champaign, Illinois.

  121. Tirthankar Ghosal, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya and Ravi Sonam (2019). Is the Paper Within Scope? Are You Fishing in the Right Pond? Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 237-240, June 2-6, 2019. Urbana-Champaign, Illinois (Core-A*)

  122. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya (2019). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. In proceedings of 19th ACM/IEEE Joint Conference on Digital Libraries, (JCDL). pp. 414-415, June 2-6, 2019. Urbana-Champaign, Illinois.

  123. Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal (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. Tirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 374-375, June 2-6, 2019. Urbana-Champaign, Illinois (Core-A*)

  125. Md. Shad Akhtar, Abhishek Kumar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya (2019). Language-Agnostic Model for Aspect-Based Sentiment Analysis. In Proc. of IWCS (1) 2019: 154-164.

  126. Deepanway Ghosal, Md Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In Proceedings of EMNLP, PP. 3454-3464, November 2- 4, 2018. Brussels, Belgium.

  127. Tirthankar Ghosal, Amitra Salam, Swati Tiwary, Asif Ekbal, Pushpak Bhattacharyya (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. Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (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. Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya (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. Sabyasachi Kamila, Asif Ekbal, Pushpak Bhattacharyya (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. Deepak Gupta, Surabhi Kumari, Asif Ekbal, Pushpak Bhattacharyya (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. Navonil Majumder, Soujanya Poria, Md Shad Akhtar, Erik Cambria, Alexander Gelbukh and Asif Ekbal (2018). Modeling Inter-Aspect Relation in Aspect-Based Sentiment Analysis. In Proceedings of EMNLP, PP. 3402-3411. November 2- 4, 2018. Brussels, Belgium.

  133. Deepak Gupta, Rajkumar Pujari, Asif Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Jain and Shubhashis Sengupta (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. Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula and Georgios Tsatsaronis (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. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2018). Investigating Impact Features in Editorial Pre-Screening of Research Papers. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL) , pp. 833-834, June 3-6, 2018.

  136. Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (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)

  137. Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya (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)

  138. Sabyasachi Kamila Mohammad Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way (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).

  139. Deepak Gupta, Pabitra Lenka, Asif Ekbal, and Pushpak Bhattacharyya (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.

  140. Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal (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.

  141. Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya (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. Shweta, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2017). Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection. In the European Chapter of the Association for Computational Linguistics (EACL 2017), April 3-7, Valencia, Spain.

  143. Md Shad Akhtar, Ayush Kumar, Asif Ekbal and Pushpak Bhattacharyya (2016). A Hybrid Deep Learning Architecture for Sentiment Analysis. In proceeding of the 26th International Conference on Computational Linguistics (COLING), 11-16 Dec 2016, Osaka, Japan.

  144. Shweta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (2016). A deep learning architecture for protein-protein Interaction Article identification. In proceedings of 23rd International Conference on Pattern Recognition (ICPR). pp. 3128-3133.

  145. Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya (2016). Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In proceedings LREC

  146. Dipawesh Pawar, Mohammed Hasanuzzaman, Asif Ekbal (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. Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha (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. Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio (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. Sriparna Saha, Asif Ekbal, Olga Uryupina, Massimo Poesio (2011). Single and multi-objective optimization for feature selection in anaphora resolution. In proceedings of Fifth International Joint Conference on Natural Language Processing (IJCNLP) 2011. pp. 93-101.

  150. Asif Ekbal, Sriparna Saha, Christoph S. Garbe (2010). Feature Selection Using Multiobjective Optimization for Named Entity Recognition. In the proceedings of 20th International Conference on Pattern Recognition (ICPR) 2010, Istanbul, Turkey, 23-26 August 2010. pp. 1937- 1940.

  151. Asif Ekbal, Rejwanul Haque, Sivaji Bandyopadhyay (2008). Named Entity Recognition in Bengali: A Conditional Random Field Approach. In the third International Joint Conference on Natural Language Processing (IJCNLP) 2008, Hyderabad, India, January 7-12, 2008. pp 589-594.

  152. Asif Ekbal, Sudip Kumar Naskar, Sivaji Bandyopadhyay (2006). A Modified Joint Source-Channel Model for Transliteration. In Proceedings of COLING/ACL 2016, Sydney, Australia, 17-21 July 2006. pp. 191-198.