Conferences

  1. Kshitij Mishra, Manisha Burja, Asif Ekbal (2025), "Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities", AAAI Conference on Artificial Intelligence (AAAI), pp. 24876–24884.
  2. Priyanshu Priya, Rishikant Chigrupaatii, Mauajama Firdaus, Asif Ekbal (2025), "GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue", AAAI Conference on Artificial Intelligence (AAAI), pp. 25010–25018.
  3. Aizan Zafar, Kshitij Mishra, Asif Ekbal (2025), "MedEx: Enhancing Medical Question-Answering with First-Order Logic based Reasoning and Knowledge Injection", International Conference on Computational Linguistics (COLING), pp. 9701–9720.
  4. Sandeep Kumar, Samarth Garg, Sagnik Sengupta, Tirthankar Ghosal, Asif Ekbal (2025), "MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews", North American Chapter of the Association for Computational Linguistics (NAACL), Volume 2: Short Papers, pp. 944–953.
  1. 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", AAAI Conference on Artificial Intelligence (AAAI), pp. 18981–18989.
  2. Soumitra Ghosh, Gopendra Vikram Singh, Jashn Arora, Asif Ekbal (2024), "Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation", AAAI Conference on Artificial Intelligence (AAAI), pp. 22040–22048.
  3. Gitanjali Kumari, Dibyanayan Bandyopadhyay, Asif Ekbal, Vinutha B. N. (2024), "CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge", LREC-COLING, pp. 3380–3393.
  4. Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal (2024), "Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles", LREC-COLING, pp. 10790–10801.
  5. Gitanjali Kumari, Anubhav Sinha, Asif Ekbal (2024), "Unintended Bias Detection and Mitigation in Misogynous Memes", European Chapter of the Association for Computational Linguistics (EACL), Volume 1, pp. 2719–2733.
  6. Ramakrishna Appicharla, Baban Gain, Santanu Pal, Asif Ekbal, Pushpak Bhattacharyya (2024), "A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning", European Association for Machine Translation (EAMT), Volume 1, pp. 246–257.
  7. Gitanjali Kumari, Chandranath Adak, Asif Ekbal (2024), "Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection", European Conference on Information Retrieval (ECIR), Volume 3, pp. 19–37.
  8. Priyanshu Priya, Mauajama Firdaus, Gopendra Vikram Singh, Asif Ekbal (2024), "Affective Computing for Social Good Applications: Current Advances, Gaps and Opportunities in Conversational Setting", European Conference on Information Retrieval (ECIR), Volume 5, pp. 375–380.
  9. Anas Khan, Tanik Saikh, Arpan Phukan, Asif Ekbal (2024), "Hope 'The Paragraph Guy' explains the rest: Introducing MeSum, the Meme Summarizer", Findings of the Association for Computational Linguistics: EMNLP, pp. 6654–6668.
  10. Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal (2024), "Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes", Findings of the Association for Computational Linguistics: EMNLP, pp. 10715–10731.
  11. Arpan Phukan, Manish Gupta, Asif Ekbal (2024), "ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos", Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 14411–14436.
  12. Priyanshu Priya, Desai Yasheshbhai, Ratnesh Kumar Joshi, Roshni R. Ramnani, Anutosh Maitra, Shubhashis Sengupta, Asif Ekbal (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, pp. 16566–16595.
  13. Aizan Zafar, Kshitij Mishra, Asif Ekbal (2024), "MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures", Findings of the Association for Computational Linguistics: EMNLP, pp. 16844–16867.
  14. Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal (2024), "BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability", Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 21059–21070.
  15. Gitanjali Kumari, Kirtan Jain, Asif Ekbal (2024), "M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought", Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 22105–22138.
  16. Kshitij Mishra, Manisha Burja, Asif Ekbal (2024), "ABLE: Personalized Disability Support with Politeness and Empathy Integration", Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 22445–22470.
  17. Gopendra Vikram Singh, Sai Vemulapalli, Mauajama Firdaus, Asif Ekbal (2024), "Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework", Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 22546–22570.
  18. 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", Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 22663–22679.
  19. Dibyanayan Bandyopadhyay, Asmit Ganguly, Baban Gain, Asif Ekbal (2024), "SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution", International Joint Conference on Artificial Intelligence (IJCAI), pp. 6189–6197.
  20. Gopendra Vikram Singh, Soumitra Ghosh, Neil Dcruze, Asif Ekbal (2024), "From Pink and Blue to a Rainbow Hue! Defying Gender Bias through Gender Neutralizing Text Transformations", International Joint Conference on Artificial Intelligence (IJCAI), pp. 7447–7455.
  21. Mamta, Gopendra Vikram Singh, Deepak Raju Kori, Asif Ekbal (2024), "Aspect-Based Multimodal Mining: Unveiling Sentiments, Complaints, and Beyond in User-Generated Content", ACM International Conference on Multimedia (ACM MM), pp. 6433–6442.
  22. Priyanshu Priya, Gopendra Vikram Singh, Mauajama Firdaus, Jyotsna Agrawal, Asif Ekbal (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 North American Chapter of the Association for Computational Linguistics (NAACL-HLT), pp. 4678–4696.
  1. Kshitij Mishra, Priyanshu Priya, Asif Ekbal: "Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims." AAAI 2023: 14408–14416
  2. Kshitij Mishra, Priyanshu Priya, Asif Ekbal: "PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent." ACL (1) 2023: 12254–12271
  3. Mauajama Firdaus, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya: "Multi-step Prompting for Few-shot Emotion-Grounded Conversations." CIKM 2023: 3886–3891
  4. Avinash Madasu, Mauajama Firdaus, Asif Ekbal: "A Unified Framework for Emotion Identification and Generation in Dialogues." EACL (Student Research Workshop) 2023: 73–78
  5. Zishan Ahmad, Kshitij Mishra, Asif Ekbal, Pushpak Bhattacharyya: "RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System." EACL 2023: 3464–3476
  6. Dibyanayan Bandyopadhyay, Gitanjali Kumari, Asif Ekbal, Santanu Pal, Arindam Chatterjee, Vinutha B. N.: "A Knowledge Infusion Based Multitasking System for Sarcasm Detection in Meme." ECIR (1) 2023: 101–117
  7. Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya: "DeCoDE: Detection of Cognitive Distortion and Emotion Cause Extraction in Clinical Conversations." ECIR (2) 2023: 156–171
  8. Mamta, Asif Ekbal: "Service Is Good, Very Good or Excellent? Towards Aspect Based Sentiment Intensity Analysis." ECIR (1) 2023: 685–700
  9. Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah: "Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards." EMNLP (Findings) 2023: 207–221
  10. Zishan Ahmad, Suman Saurabh, Vaishakh Sreekanth Menon, Asif Ekbal, Roshni R. Ramnani, Anutosh Maitra: "INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent." EMNLP (Findings) 2023: 2536–2549
  11. Gopendra Vikram Singh, Soumitra Ghosh, Atul Verma, Chetna Painkra, Asif Ekbal: "Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts." EMNLP 2023: 4517–4532
  12. Kshitij Mishra, Priyanshu Priya, Manisha Burja, Asif Ekbal: "e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts." EMNLP 2023: 13952–13967
  13. Mamta, Zishan Ahmad, Asif Ekbal: "Elevating Code-mixed Text Handling through Auditory Information of Words." EMNLP 2023: 15918–15932
  14. Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal: "When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews." EMNLP 2023: 16693–16704
  15. Surupendu Gangopadhyay, Ganesh Epili, Prasenjit Majumder, Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Arafat Ahsan, Dipti Misra Sharma: "Overview of MTIL Track at FIRE 2023: Machine Translation for Indian Languages." FIRE 2023: 19–21
  16. Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal: "MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization." ICADL (2) 2023: 250–267
  17. Priyanshu Priya, Kshitij Mishra, Palak Totala, Asif Ekbal: "PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims." IJCAI 2023: 6183–6191
  18. Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal: "Promoting Gender Equality through Gender-biased Language Analysis in Social Media." IJCAI 2023: 6210–6218
  19. Mauajama Firdaus, Priyanshu Priya, Asif Ekbal: "Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational Systems." IJCNLP (Findings) 2023: 336–347
  20. Gitanjali Kumari, Pranali Shinde, Asif Ekbal: "The Persuasive Memescape: Understanding Effectiveness and Societal Implications of Internet Memes." IJCNLP (1) 2023: 946–959
  21. Dibyanayan Bandyopadhyay, Aizan Zafar, Asif Ekbal, Mohammed Hasanuzzaman: "End to End Sign Language Translation via Multitask Learning." IJCNN 2023: 1–8
  22. Maunendra Sankar Desarkar, Suvodip Dey, Asif Ekbal, P. K. Srijith: "DialoGen: Generalized Long-Range Context Representation for Dialogue Systems." PACLIC 2023: 372–386
  23. Dibyanayan Bandyopadhyay, Asif Ekbal: "Unsupervised Text Style Transfer Through Differentiable Back Translation and Rewards." PAKDD (4) 2023: 210–221
  24. Rajeev Verma, Rahul Gupta, Pushpak Bhattacharyya, Asif Ekbal: "ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews." SIGIR-AP 2023: 95–103
  1. D. Varshney, A. Zafar, N. Behra, A. Ekbal (2022), "CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation." In EMNLP 2022, December 7–11, Abu Dhabi, UAE.
  2. K. Mishra, A. Samad, P. Totala and A. Ekbal (2022), "PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation." In COLING 2022, October 12–17, Korea.
  3. M. Firdaus, A. Ekbal and P. Bhattacharyya (2022), "PoliSe: Reinforcing Politeness using User Sentiment for Customer Care Response Generation." In COLING 2022, October 12–17, Korea.
  4. 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 COLING 2022, October 12–17, Korea.
  5. S. Ghosh, D. Maurya, A. Ekbal and P. Bhattacharyya (2022), "EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes." In COLING 2022, October 12–17, Korea.
  6. 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 COLING 2022, October 12–17, Korea.
  7. Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2022), "Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes." In IJCAI-ECAI 2022 (AI for Good Track), July 23–29, Vienna, Austria.
  8. Deeksha Varshney, Akshara Prabhakar, Asif Ekbal (2022), "Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation." In NAACL-HLT 2022.
  9. Azlaan Mustafa Samad, Kshitij Mishra, Mauajama Firdaus, Asif Ekbal (2022), "Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems." In NAACL-HLT 2022 Findings.
  10. Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya (2022), "An Efficient Fusion Mechanism for Multimodal Low-resource Setting." In SIGIR 2022, July 11–15, Madrid, Spain.
  11. Sandeep Kumar, Hardik Arora, Tirthankar Ghosal and Asif Ekbal (2022), "DeepASPeer: Towards an Aspect-level Sentiment Controllable Framework for Decision Prediction in Peer Reviews." In JCDL 2022.
  12. Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2022), "CARES: CAuse Recognition for Emotion in Suicide notes." In ECIR 2022, April 10–14.
  13. Raghav Jain, Vaibhav Mavi, Anubhav Jangra, and Sriparna Saha (2022), "WIDAR - Weighted Input Document Augmented ROUGE." In ECIR 2022, April 10–14.
  14. Apoorva Singh, Arousha Nazir and Sriparna Saha (2022), "Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection." In ECIR 2022, April 10–14.
  15. M. Firdaus, N. Thakur, A. Ekbal (2022), "Sentiment guided Aspect conditioned Dialogue Generation in a Multimodal System." In ECIR 2022, April 10–14.
  1. N. Prasad, S. Saha, P. Bhattacharyya (2021), "Multimodal Hate Speech Detection from Videos." In ICONIP 2021, December 8–12, Bali, Indonesia.
  2. M. Tiwari, R. K. Sanodiya, J. Mathew, and S. Saha (2021), "A Particle Swarm Optimization based Feature Selection approach for Multi-source Visual Domain Adaptation." In ICONIP 2021, December 8–12, Bali, Indonesia.
  3. N. Priya, A. Tiwari and S. Saha (2021), "Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach." In ICONIP 2021, December 8–12, Bali, Indonesia.
  4. K. Maity and S. Saha (2021), "A Multi-task Model for Sentiment aided Cyberbullying Detection in Code-Mixed Indian Languages." In ICONIP 2021, December 8–12, Bali, Indonesia.
  5. A. S. Das and S. Saha (2021), "Self-supervised Image-to-Text and Text-to-Image Synthesis." In ICONIP 2021, December 8–12, Bali, Indonesia.
  6. R. Kumar and S. Saha (2021), "A multi-task learning scheme for Motor Imagery Signal Classification." In ICONIP 2021, December 8–12, Bali, Indonesia.
  7. R. Salgotra, S. Singh, U. Singh, S. Saha, and A. H Gandomi (2021), "Hybridizing Cuckoo Search with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites." In IEEE SSCI 2021, December 4–7, Orlando, Florida, USA.
  8. A. Kumar, T. Ghosal and A. Ekbal (2022), "A Deep Neural Architecture for Decision-Aware Meta-Review Generation." In JCDL 2022 (Core Rank-A*).
  9. S. Kumar, T. Ghosal, P. Bharti, A. Ekbal (2022), "Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews." In JCDL 2022 (Core Rank-A*).
  1. M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). "More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation." In AAAI 2020.
  2. D. Gupta, H. Chauhan, R. Akella, A. Ekbal and P. Bhattacharyya (2020). "Reinforced Multi-task Approach for Multi-hop Question Generation." In COLING 2020.
  3. M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). "MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset." In COLING 2020.
  4. D. Gupta, A. Ekbal and P. Bhattacharyya (2020). "A Semi-supervised Approach to Generate Code-mixed Text." In EMNLP Findings 2020.
  5. M. N. Sundararaman, Z. Ahmad, A. Ekbal and P. Bhattacharyya (2020). "Unsupervised Aspect-Level Sentiment Controllable Style Transfer." In AACL-IJCNLP 2020.
  6. D. Gupta, P. Lenka, A. Ekbal and P. Bhattacharyya (2020). "A Unified Framework for Multilingual and Code-Mixed VQA." In AACL-IJCNLP 2020.
  7. D. S. Chauhan, D. S. R, A. Ekbal and P. Bhattacharyya (2020). "All-in-One: A Multi-task Framework on Memes." In AACL-IJCNLP 2020.
  8. Z. Ahmad et al. (2020). "Active Learning for Knowledge Graph Construction." In ICONIP 2020.
  9. T. Saikh et al. (2020). "A Neural Framework for Cross-Lingual NLI." In ICONIP 2020.
  10. K. Jha, S. Saha, M. Khushi (2020). "PPI Prediction using GRU and Multimodal Representation." In ICONIP 2020.
  11. T. Saha et al. (2020). "Reinforcement Learning for Personalized Response Generation." In ICONIP 2020.
  12. D. Paul et al. (2020). "Online Multi-objective Subspace Clustering." In ICONIP 2020.
  13. N. Saini et al. (2020). "Multi-tweet Summarization using Neural Fusion." In ICONIP 2020.
  14. K. K. Gupta et al. (2020). "Syntax-aware Interactive NMT." In EAMT 2020.
  15. S. Mitra, S. Saha. "Multi-view, Multi-objective Clustering." In ICPR 2020.
  16. N. Saini et al. "Graph-based Scientific Summarization." In ICPR 2020.
  17. S. Yadav et al. "Health Severity from Social Media Posts." In ICPR 2020.
  18. N. Saini et al. (2020). "Graph Features for Microblog Summarization." In IEEE-CEC 2020.
  19. S. J. Giri, S. Saha (2020). "Gene Clustering using Ontology and Expression Similarities." In IEEE-CEC 2020.
  20. R. Salgotra et al. (2020). "Improved Cuckoo Search for Benchmarking." In IEEE-CEC 2020.
  21. T. Saha et al. (2020). "Emotion-aided Multi-modal Dialogue Act Classification." In ACL 2020.
  22. D. S. Chauhan et al. (2020). "Multi-modal Sarcasm and Emotion Analysis." In ACL 2020.
  23. P. Dutta, S. Saha (2020). "Improving PPI Identification with Text and Structure." In ACL 2020.
  24. M. Firdaus et al. (2020). "Persona-aware Emotional Response Generation." In IJCNN 2020.
  25. S. Sangwan et al. (2020). "Multimodality for Sarcasm Detection." In IJCNN 2020.
  26. Z. Ahmad et al. (2020). "Tweet to News Conversion via Controllable Generation." In IJCNN 2020.
  27. K. K. Gupta et al. (2020). "Syntax-Informed Interactive NMT." In IJCNN 2020.
  28. T. Saikh et al. (2020). "Transfer Learning for Fake News Detection." In IJCNN 2020.
  29. C. S. Kanani et al. (2020). "Improving Paragraph Captioning Diversity." In IJCNN 2020.
  30. S. Sridhar et al. (2020). "Minority Regime Training in Microarray Prediction." In IJCNN 2020.
  31. T. Saha et al. (2020). "Transformer-based Tweet Act Identification." In IJCNN 2020.
  32. T. Saha et al. (2020). "Hierarchical Reinforcement Learning for Multi-domain Dialogue." In IJCNN 2020.
  33. Mamta et al. (2020). "Multi-domain Tweet Corpora for Sentiment Analysis." In LREC 2020.
  34. S. Ghosh et al. (2020). "CEASE: Corpus of Suicide Notes." In LREC 2020.
  35. S. K. Sahoo et al. (2020). "Event Extraction in Hindi." In LREC 2020.
  36. T. Saikh et al. (2020). "MRC Dataset for Scholarly Articles." In LREC 2020.
  37. M. Firdaus et al. (2020). "Politeness in Multilingual Customer Care." In LREC 2020.
  38. A. Jangra et al. (2020). "Text-Image-Video Summary Generation via ILP." In ECIR 2020.
  1. Tanik Saikh, Arkadipta De, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Learning Approach for Automatic Detection of Fake News. ICON 2019.
  2. Arjun Roy, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Ensemble Framework for Fake News Detection and Multi-Class Classification of Short Political Statements. ICON 2019.
  3. Zishan Ahmad, Deeksha Varshney, Asif Ekbal and Pushpak Bhattacharyya (2019). Multi-linguality helps: Event-Argument Extraction for Disaster Domain in Cross-lingual and Multi-lingual setting. ICON 2019.
  4. Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal and Pushpak Bhattacharyya (2019). A Multi-task Model for Multilingual Trigger Detection and Classification. ICON 2019.
  5. Kumar Shikhar Deep, Asif Ekbal and P. Bhattacharyya (2019). What a Dialogue! A Deep Neural Framework for Contextual Affect Detection. ICONIP 2019 (CORE rank A).
  6. Suyash Sangwan, DS. Chauhan, M. S. Akhtar, A. Ekbal and P. Bhattacharyya (2019). Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis. ICONIP 2019 (CORE rank A).
  7. M. Firdaus, A. Kumar, A. Ekbal and P. Bhattacharyya (2019). Multi-lingual Multi-intent Detection for Natural Language Understanding in Dialogue Systems. ICONIP 2019 (CORE rank A).
  8. DS. Chauhan, R. Kumar and A. Ekbal (2019). Attention based Shared Representation for Multi-Task Stance Detection and Sentiment Analysis. ICONIP 2019 (CORE rank A).
  9. Naveen Saini, Sriparna Saha, Anurag Kumar, Pushpak Bhattacharyya (2019). Multi-document summarization using adaptive composite differential evolution. ICONIP 2019 (CORE rank A).
  10. Naveen Saini, Rahul Grover, Sriparna Saha, Pushpak Bhattacharyya (2019). Scientific document clustering using granular self-organizing map. ICONIP 2019 (CORE rank A).
  11. Dipanjyoti Paul, Abhishek Kumar, Sriparna Saha, Jimson Mathew (2019). Evolutionary based subspace clustering in multi-objective optimization framework. ICONIP 2019 (CORE rank A).
  12. Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2019). Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. EMNLP 2019.
  13. Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya (2019). Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders. ACL.
  14. Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (2019). A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining. ACL.
  15. Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (2019). Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System. ACL 2019.
  16. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions. ACL.
  17. Tanik Saikh, Amit Anand, Asif Ekbal and Pushpak Bhattacharyya (2019). A Novel Approach towards Fake News Detection: Deep Learning Augmented with Textual Entailment Features. NLDB 2019.
  18. Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya (2019). Tweet Act Classification: A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. IJCNN 2019.
  19. Tulika Saha, Saurabh Srivastava, Mauajama Firdaus, Sriparna Saha, Asif Ekbal, Pushpak Bhattacharyya (2019). Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification. IJCNN 2019.
  20. Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal and Pushpak Bhattacharyya (2019). To Comprehend the New: On Measuring the Freshness of a Document. IJCNN 2019.
  21. Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission. JCDL 2019.
  22. Tirthankar Ghosal, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya and Ravi Sonam (2019). Is the Paper Within Scope? Are You Fishing in the Right Pond? JCDL 2019.
  23. Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). A Multiview Clustering Approach To Identify Out-of-Scope Submissions. JCDL 2019.
  24. 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. JCDL 2019.
  25. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL 2019.
  26. Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, and Pushpak Bhattacharyya (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. NAACL 2019.
  27. Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2019). Courteously Yours: Inducing courteous behaviour in Customer Care responses using Reinforced Pointer Generator Network. NAACL 2019.
  28. Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya (2019). Related Tasks can Share! A Multi-task Framework for Affective language. CICLing 2019.
  29. Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way (2019). Take Help from Elder Brother: Old to Modern English NMT with Phrase Pair Feedback. CICLing 2019.
  30. Arjun Roy, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Ensemble Framework for Fake News Detection and Classification. CICLing 2019.
  31. Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya and Jimson Mathew (2019). Event-Argument Linking in Hindi for Information Extraction in Disaster Domain. CICLing 2019.
  32. Zishan Ahmad, Deeksha Varshney, Asif Ekbal, Pushpak Bhattacharyya (2019). Multilingual Event Identification in Disaster Domain. CICLing 2019.
  33. Rijul Dhir, Santosh Kumar Mishra, Sriparna Saha, Pushpak Bhattacharyya (2019). A Deep Attention based Framework for Image Caption Generation in Hindi Language. CICLing 2019.
  34. Debajyoty Banik, Asif Ekbal, and Pushpak Bhattacharyya. Two-phased Architecture for Dynamic Language Model. CICLing 2019.
  35. Suyash Sangwan, Raksha Sharma, Girish Palshikar, Asif Ekbal. Cold is a Disease and D-cold is a Drug: Identifying Biological Types of Entities in the Biomedical Domain. CICLing 2019.
  36. Tanik Saikh, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya. "News Title can be Deceptive”: Title Body Consistency Detection for News Articles using Text Entailment. CICLing 2019.
  37. Prashant Kapil, Asif Ekbal and Dipankar Das (2019). Investigating Deep Learning Approaches for Hate Speech Detection in Social Media. CICLing 2019.
  38. Alan Aipe, Mukuntha N S, Asif Ekbal (2019). Sentiment-Aware Recommendation System for Healthcare using Social Media. CICLing 2019.
  1. Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya (2018). WupLeBleu: The Word-net Based Evaluation Metric for Machine Translation. ICON 2018.
  2. Zishan Ahmad, Sovan Kumar Sahoo, Asif Ekbal and Pushpak Bhattacharyya (2018). A Deep Learning Model for Event Extraction and Classification in Hindi for Disaster Domain. ICON 2018.
  3. Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya. Text, Visual and Acoustic are Friends! A Multi-Modal Attention Framework for Utterance-Level Sentiment Prediction. EMNLP 2018.
  4. Navonil Majumder, Soujanya Poria, Md Shad Akhtar, Erik Cambria, Alexander Gelbukh and Asif Ekbal. Modeling Inter-Aspect Relation in Aspect-Based Sentiment Analysis. EMNLP 2018.
  5. Deepanway Ghosal, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. ICONIP 2018.
  6. Pratik Dutta, Sriparna Saha and Agni Besh Chauhan. Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach. ICONIP 2018.
  7. Mauzama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya. A Deep Learning based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding. ICONIP 2018.
  8. Tulika Saha, Dhawal Gupta, Sriparna Saha and Pushpak Bhattacharyya. Reinforcement Learning based Dialogue Management Strategy. ICONIP 2018.
  9. Tulika Saha, Sriparna Saha and Pushpak Bhattacharyya. Exploring Deep Learning Architectures coupled with CRF based Prediction for Slot-Filling. ICONIP 2018.
  10. Deepak Gupta, Pabitra Lenka, Asif Ekbal and Pushpak Bhattacharyya (2018). Code-Mixed Question Generation and a Neural Framework for Code-Mixed Question Answering. CoNLL 2018.
  11. Mauzama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya. Intent Detection for Spoken Language Understanding using a Deep Ensemble Model. PRICAI 2018.
  12. Deepak Gupta, Rajkumar Pujari, Asif Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Jain and Shubhashis Sengupta. Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy. COLING 2018.
  13. Sayantan Mitra, Mohammad Hasanuzzaman and Sriparna Saha. Incorporating Deep Visual Features into Multiobjective based Multi-view Search Result Clustering. COLING 2018.
  14. Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula and Georgios Tsatsaronis. Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. COLING 2018.
  15. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya. Investigating Impact Features in Editorial Pre-Screening of Research Papers. JCDL 2018.
  16. Tirthankar Ghosal. Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review. JCDL 2018.
  17. Alan Aipe, Mukuntha N S, Asif Ekbal and Sadao Kurohashi. Deep Learning Approach towards Multi-label Classification of Crisis Related Tweets. ISCRAM 2018.
  18. R. Salgotra, U. Singh and Sriparna Saha (2018). Improved Cuckoo Search With Better Search Capabilities For Solving CEC2017 Benchmark Problems. IEEE CEC 2018.
  19. Sumit Mishra, Sriparna Saha, Samrat Mondal (2018). MBOS: Modified Best Order Sort Algorithm for Performing Non-dominated Sorting. IEEE CEC 2018.
  20. Naveen Saini, Sriparna Saha and Pushpak Bhattacharyya (2018). Cascaded SOM: An Improved Technique for Automatic Email Classification. IJCNN 2018.
  21. Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya. Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. NAACL-HLT 2018.
  22. Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya. Solving Data Sparsity for Aspect based Sentiment Analysis using Cross-linguality and Multi-linguality. NAACL-HLT 2018.
  23. Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. Fine-grained Temporal Orientation and its Relationship with Psycho-demographic Correlates. NAACL-HLT 2018.
  24. Tanik Saikh, Debajyoty Banik, Asif Ekbal and Pushpak Bhattacharyya. Machine Translation Evaluation Metrics for Recognizing Textual Entailment. CICLing 2018.
  25. Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal. Recognizing Textual Entailment Using Weighted Dependency Relations. CICLing 2018.
  26. Deepak Gupta, Sarah Kohail and Pushpak Bhattacharyya. Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering. CICLing 2018.
  27. Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya. TAP-DLND 1.0: A Corpus for Document Level Novelty Detection. LREC 2018.
  28. Deepak Gupta, Surabhi Kumari, Asif Ekbal and Pushpak Bhattacharyya. MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi. LREC 2018.
  29. Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya. A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text. LREC 2018.
  30. Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya. Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System. LREC 2018.
  31. Sabyasachi Kamila, Asif Ekbal, and Pushpak Bhattacharyya. Sentence Level Temporality Detection using an Implicit Time-sensed Resource. LREC 2018.
  1. T. Saikh, T. Ghosal, Asif Ekbal and Pushpak Bhattacharyya, "Document Level Novelty Detection: Textual Entailment Lends a Helping Hand", ICON, 2017.
  2. S. Asthana and Asif Ekbal, "Supervised Methods For Ranking Relations In Web Search", ICON, 2017.
  3. Naveen Saini, S. Chourasia, Sriparna Saha and Pushpak Bhattacharyya, "A Self Organizing Map based Multi-objective Framework for Automatic Evolution of Clusters", ICONIP, 2017.
  4. Sabyasachi Kamila, Sukanta Sen, Mohammad Hasanuzzaman, Asif Ekbal, Andy Way and Pushpak Bhattacharyya, "Temporality as Seen through Translation: A Case Study on Hindi Texts", MT Summit 2017.
  5. Md Shad Akhtar, A. Kumar, D. Ghosal, Asif Ekbal and Pushpak Bhattacharyya, "A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis", EMNLP (Core Rank-A) (h5-index: 58), 2017.
  6. S. Akhtar, S. Kohail, A. Kumar, Asif Ekbal and C. Biemann, "Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis.", in NLDB, 2017.
  7. A. Majumder, Asif Ekbal and S. K. Naskar, "Feature Selection and Class-Weight tuning using Genetic Algorithm for Bio-molecular Event Extraction.", in NLDB, 2017.
  8. M. A. Khan, E. L. Mencía, Asif Ekbal and Johannes Fürnkranz. "Multi-objective Optimisation based Feature Selection Technique for Multi-Label Sentiment Analysis.", in NLDB, 2017.
  9. Mohammad Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal. "Temporal Orientation of Tweets for Predicting Income of Users", in ACL 2017 (Core Rank-A*) (h5-index: 87).
  10. T. Saikh, S. K. Naskar, Asif Ekbal, S. Bandyopadhyay. "Textual Entailment Using Machine Translation Evaluation Metrics", in CICLING, 2017.
  11. Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection.", in EACL (Core Rank-A) (h5-index: 31), 2017.
  1. Debajyoty Banik, S. Sen, Asif Ekbal, Pushpak Bhattacharyya, "Can SMT and RBMT improve each other's performance? An Experiment with English-Hindi Translation", in ICON 2016.
  2. Shweta, A. Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "A Recurrent Neural Network Architecture for De-identifying Clinical Records", in ICON 2016.
  3. Deepak Gupta, Ankit Lamba, Asif Ekbal and Pushpak Bhattacharyya, "Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals", in ICON 2016.
  4. A. Majumder, Asif Ekbal, S. K. Naskar, "Biomolecular Event Extraction using a Stacked Generalization based Classifier", in ICON 2016.
  5. Shuvam Kumar, Anwesh Sinha Ray, Sabyasachi Kamila, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval", in ICON 2016.
  6. Debajyoty Banik, Pushpak Bhattacharyya, Asif Ekbal, "Rule Based Hardware Approach for Machine Transliteration: A First Thought", in IEEE 6th International Symposium on Electronic System Design 2016.
  7. Md Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya, "A Hybrid Deep Learning Architecture for Sentiment Analysis.", in COLING 2016.
  8. Shweta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "A Deep Learning Architecture for Protein-Protein Interaction Article Identification", in 23rd International Conference on Pattern Recognition 2016.
  9. Pracheta Sahoo, Sudipta Acharya, Sriparna Saha, "Automatic Generation of Biclusters from Gene Expression Data Using Multi-objective Simulated Annealing Approach", in 23rd International Conference on Pattern Recognition 2016.
  10. Sudipta Acharya, Asif Ekbal, Sriparna Saha, P. Santhanam, J. G. Moreno, G. Dias, "Multi-Objective Word Sense Induction based on Content and Interlink Connections", in 21st International Conference on Applications of Natural Language to Information Systems (NLDB) 2016, June 22-24, Manchester, UK.
  11. Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya, "Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation", in LREC 2016, 23-28 May, Portoroz, Slovenia.
  12. Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya, "Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi", in CICLING 2016, April 3-9, Konya, Turkey.
  13. Sumit Mishra, Sriparna Saha and Samrat Mondal, "An Automatic Framework for Entity Matching in Bibliographic Databases", in IEEE CEC 2016, Vancouver, Canada, July 24-29.
  14. Sumit Mishra, Sriparna Saha and Samrat Mondal, "Divide and Conquer Based Non-dominated Sorting for Parallel Environment", in IEEE CEC 2016, Vancouver, Canada, July 24-29.
  15. Sumit Mishra, Samrat Mondal, Sriparna Saha, "Fast Implementation of Steady State NSGA-II", in IEEE CEC 2016, Vancouver, Canada, July 24-29.
  16. R. Das and Sriparna Saha, "Gene Expression Data Classification using Automatic Differential Evolution Based Algorithm", in IEEE CEC 2016, Vancouver, Canada, July 24-29.
  17. M. Pal, Sriparna Saha and S. Bandyopadhyay, "Clustering based Online Automatic Objective Reduction to aid Many-Objective Optimization", in IEEE CEC 2016, Vancouver, Canada, July 24-29.
  18. D. Pawar, M. Hasanuzzaman and Asif Ekbal, "Building Tempo-HindiWordnet - A resource for temporal information access in Hindi", in LREC 2016.