Dr. Asif Ekbal

Associate Professor
Room No-410, Block-3
Department of Computer Science & Engineering
IIT Patna
Phone: +91-6115-233-8090 (Office) & +91-8521274830 (Mobile)
Email: asif@iitp.ac.in & asif.ekbal@gmail.com

Current Updates

👉Click here to visit our Research Lab Website

Don't worry about people stealing an idea. If it's original, you will have to ram it down their throats. -- Howard Aiken

Book Chapters

2009
2A. Ekbal, S. Naskar and S. Bandyopadhyay (2009). Named Entity Recognition and Transliteration in Bengali. In Benjamins Current Topics, ISBN 978 90 272 Sekine, Satoshi and Elisabete Ranchhod (eds.), pp. 97-116.
2007
1A. Ekbal, S. Bandyopadhyay and A. Das (2007). Three Different Models for Named Entity Recognition in Bengali. Advances in Pattern Recognition Series, Springer, 161-170.

Books

2013
1Co-editor of the book titled “Emerging Applications of Natural Language Processing: Concepts and New Research”, IGI Global; Editors: Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal (2013).

Conference

2022
79Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2022). Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes. IJCAI-ECAI 2022 (AI for Social Good Track) (accepted)
78Deeksha Varshney, Akshara Prabhakar, Asif Ekbal (2022). Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation. In NAACL 2022(accepted)
77Azlaan Mustafa Samad, Kshitij Mishra, Mauajama Firdaus, Asif Ekbal (2022). Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems. In NAACL 2022 Findings.(accepted)
76Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya (2022). An Efficient Fusion Mechanism for Multimodal Low-resource Setting. In SIGIR 2022.(accepted)
75P. Bharti, A. Kumar, T. Ghosal, M. Agarwal and A. Ekbal (2022). Can a Machine Generate a Meta-Review? How far are we?. In TSD 2022.(accepted)
74Gopendra 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 LREC 2022.(accepted)
73Sandeep 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. (pp. 1-11).
72M. Firdaus, N. Thakur, A. Ekbal (2022). Sentiment guided Aspect conditioned Dialogue Generation in a Multimodal System. In ECIR 2022.(pp. 199-214). Springer, Cham.
71Soumitra Ghosh, Swarup Roy, Asif Ekbal, and Pushpak Bhattacharyya (2022). CARES: CAuse Recognition for Emotion in Suicide notes. In ECIR 2022. (pp. 128-136). Springer, Cham.
70Dibyanayan Bandyopadhyay, Arkadipta De, Baban Gain, Tanik Saikh and Asif Ekbal (2022). A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference. In LREC 2022.(pp. 655-667). Springer, Cham.
2021
69M. 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) (pp. 353-363)
68A. Kumar, T. Ghosal and A. Ekbal (2021). Deep Neural Architecture for Decision Aware Meta-Review Generation (2021). IEEE/ACM Joint Conference on Digital Libraries (JCDL) (pp. 222-225). IEEE.
67S. Kumar, T. Ghosal, P. Bharti, A. Ekbal (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) (pp. 270-273). IEEE.
66K. 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 (Volume 1: Research Track) (pp. 243-255)
65D. Kumari, Soumya, C, N. Garera, A. Ekbal (2021). Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework. In Proceedings of MT Summit 2021 (Volume 1: Research Track) (pp. 150-162)
64K. Gupta, D, Boppana, R. Haque, A. Ekbal and P. Bhattcharyya (2021).  Investigating Active Learning in Interactive Neural Machine Translation. In Proceedings of MT Summit 2021 (Volume 1: Research Track) (pp. 10-22)
63Chinmay Rane, Gaël Dias, Alexis Lechervy and Asif Ekbal (2021).  Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. In Proc of SIGIR, 2197-2201
62kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. Modelling Source- and Target-Language Syntactic Information as conditional Context in Interactive Neural Machine Translation. In Proceedings of EAMT 2020, pp. 195-204.
61D. Vershney, A. Ekbal and P. Bhattacharyya (2021). Modelling Context Emotions using Multi-task Learning for Emotion-Controlled Dialogue Generation. In Proceedings of of EACL, PP. 2919-2931.
2020
60D.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.
59M. 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.
58Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya (2020). A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning. EMNLP (Findings) 2020: 2267-2280
57M. 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
56Mukuntha 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.
55Deepak 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.
54Dushyant 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
53Zishan Ahmad, Asif Ekbal, Shubhashis Sengupta, Anutosh Mitra, Roshni Rammani and Pushpak Bhattacharyya. Active Learning based Relation Classification for Knowledge Graph Construction from Conversation Data (2020). In Proceedings of ICONIP 2020, pp.  617-625
52Tanik Saikh, Arkadipta De, Dibyanayan Bandyopadhyay, Baban Gain, Asif Ekbal. A Neural Framework for English-Hindi Cross-Lingual Natural Language Inference (2020). In Proceedings of ICONIP 2020, pp. 655-667
51Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. Modelling Source- and Target-Language Syntactic Information as conditional Context in Interactive Neural Machine Translation. EAMT 2020.
50Shweta Yadav, Joy Prakash Sain, Amit Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya . Assessing the Severity of Health States based on Social Media Posts. IEEE International Conference on Pattern Recognition (ICPR), pp. 5728-5735
49Mauajama Firdaus, Naveen Thangavelu, Asif Ekbal, Pushpak Bhattacharyya (2020). Persona aware Response Generation with Emotions. In Proc. of IJCNN 2020, pp. 1-8, U.K.  
48S. Sangwan, M. S. Akhtar, P. Behera, and A. Ekbal (2020).I didn’t mean what I wrote! Exploring Multimodality for Sarcasm Detection. In Proc. of IJCNN 2020, pp. 1-8, U.K
47Zishan Ahmad, Mukuntha N S, Asif Ekbal and Pushpak Bhattacharyya (2020). Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation. In Proc. of IJCNN 2020 .
46Mamta, 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.
45Soumitra 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.
44Sovan 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.
43Tanik 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.  
42Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC), pp. 4172-4182.  
2019
41Dushyant 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
40Sukanta 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.
39S. 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.
38Hardik Chauhan, Mauzama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (2019). Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System. In Proc. of ACL, pp. 5437-5447
37Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal and Pushpak Bhattacharyya (2019). To Comprehend the New: On Measuring the Freshness of a Document. In Proc. of  IJCNN 2019, pp. 1-8
36Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission. In Proc. of JCDL 2019, pp. 227-236
35Tirthankar Ghosal, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya and Ravi Sonam (2019). Is the Paper Within Scope? Are You Fishing in the Right Pond? pp. 237-240, June 2-6, 2019. Urbana-Champaign, Illinois
34Tirthankar 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
33Tirthankar 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.
32Md 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 HLT-NAACL  pp. 370-379, Minneapolis, USA
31Hitesh 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 HLT-NAACL, pp. 851-860.
30Tirthankar 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
2018
29Deepanway Ghosal, Md Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya (2018). Contextual Inter-modal Attention for Multimodal Sentiment Analysis. In Proceedings of EMNLP, PP. 3454-3464, November 2- 4, 2018. Brussels, Belgium
28Navonil 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 Proc. of EMNLP,  pp. 3402-3411, Brussels, Belgium.
27Deepak Gupta, Pabitra Lenka, Asif Ekbal and Pushpak Bhattacharyya (2018). Code-Mixed Question Generation and a Neural Framework for Code-Mixed Question Answering. In Proc. CoNLL, pp. 119-130
26Deepak 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
25Tirthankar 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
24Tirthankar 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
23Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2018). Multitask Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. In Proceedings of NAACL-HLT, pp. 271-277, New Orleans, Louisiana, June 1-6, 2018.
22Md 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. 572582, New Orleans, Louisiana, June 1-6, 2018
21Sabyasachi 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.
20Tirthankar 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).  
19Shweta 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).  
18Deepak 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).  
17Deepak 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).  
2017
16Sabyasachi Kamila, Sukanta Sen, Mohammad Hasanuzzaman, Asif Ekbal, Andy Way and Pushpak Bhattacharyya (2017). Temporality as Seen through Translation: A Case Study on Hindi Texts. In Proc. of  Machine Translation Summit XVI 2017, Nagoya University, Nagoya, Japan.
15Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (2017). Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection. In Proc. of EACL, pp. 1159-1170, Spian
14Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya (2017). A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, (EMNLP). pp. 540-546.
2016
13Mohammed 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.
12Md 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
11Shweta, 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.
10Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya (2016).  Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In proceedings of LREC.
9Dipawesh 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)
8A. Ekbal, S. Naskar and S. Bandyopadhyay (2006). A Modified Joint Source Channel Model for Transliteration. In the Proceedings of COLING- ACL 2006, 17-23 July 2006, Sydney, Australia, PP: 191-198.
2012
7U. K. Sikdar, A. Ekbal and S. Saha (2012). Differential Evolutionary Approach for Feature Selection and Classifier Ensemble in Named Entity Recognition. 24th International Conference on Computational Linguistics (COLING 2012), December 08-15, 2012, PP. 2475-2490.
2011
6Asif 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.
5Sriparna 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.
2010
4Asif 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.
3Asif Ekbal, Sriparna Saha (2010). Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali. In Proceedings of the International Conference on Language Resources  and Evaluation (LREC) 2010.
2Asif Ekbal, Sriparna Saha (2010). Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition. In Proceeings of European Conference on Artificial Intelligence (ECAI) 2010: 783-788
2008
1Asif 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.

Journal

2022
55T. Saikh, T. Ghosal, A. Mittal, A. Ekbal and P. Bhattacharya (2022). ScienceQA: A Novel Benchmark Resource for Question Answering on Scholarly Articles. International Journal on Digital Libraries (IJDL).(accepted)
54M. Firdaus, N. Thangavelu, A. Ekbal and P. Bhattacharyya (2022). I enjoy writing and playing, do you?: A Personalized and Emotion Grounded Dialogue Agent using Generative Adversarial Network. IEEE Transaction on Affective Computing, IEEE.(accepted)
53Mamta, A. Ekbal, P. Bhattacharyya (2022). Exploring Multi-lingual, Multi-task and Adversarial Learning for Low-resource Sentiment Analysis. ACM Transaction on Asian and Low-resource Language Information Processing (ACM TALLIP).(accepted)
52Zishan Ahmad, Vinnakota Sai Sujeeth, Asif Ekbal (2022). Zero-Shot Hate to Non-Hate Text Conversion Using Lexical Constraints. IEEE Transactions on Computational Social Systems.(accepted)
51K. Mishra, M. Firdaus, A. Ekbal (2022). Predicting Politeness Variations in Goal-Oriented Conversations. IEEE Transaction on Computational Social Systems.(accepted)
50Z. Ahmad, R. Jindal, Mukuntha NS, A. Ekbal and P. Bhattacharyya (2022). Multi-modality helps in Crisis Management: An Attention-based Deep Learning approach of leveraging Text for Image Classification. Expert System with Application, Elsevier. 195, 116626.
49Kshitij Mishra, Mauajama Firdaus, and Asif Ekbal (2022). Please be Polite: Towards building a Politeness Adaptive Dialogue System for Goal-oriented Conversations. Neurocomputing, Elsevier. 494, 242-254.
48G. Singh, M. Firdaus, Shamvabi, S. Mishra, A. Ekbal (2022). Knowing What to Say: Towards Knowledge grounded Code-Mixed Response Generation for Open-Domain Conversations, Knowledge-Based Systems, Elsevier. 249, 108900.
47S. Ghosh, A. Ekbal and P. Bhattacharyya (2022). Deep Cascaded Multitask Framework for Detection of Temporal Orientation, Sentiment and Emotion from Suicide Notes. Scientific Reports, Nature Publishing Group. 12(1), 1-16.
46Tirthankar Ghosal, Sandeep Kumar, Prabhat Kumar Bharti, Asif Ekbal (2022). Peer Review Analyze: A Novel Benchmark Resource for Computational Analysis of Peer Reviews. PloS One. 7(1), e0259238.
45Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, and Pushpak Bhattacharyya (2022). Novelty Detection: A Perspective from Natural Language Processing. Computational Linguistics, MIT Press 48(1), 77-117.
44Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal (2022). What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion. Information Processing & Management 59(1), 102740
2021
43Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2021), What Does Your Bio Say? Inferring Twitter Users' Depression Status From Multimodal Profile Information Using Deep Learning, IEEE Transactions on Computational Social Systems.
42A. Dey, D. Bandyopadhyay, B. Gain, A. Ekbal (2021). A Transformer Based Approach to Multilingual Fake News Detection in Low-resource Languages. In ACM Transaction on Asian and Low-resource Languages (ACM TALLIP) 21(1), 1-20.
41D. Kumari, R. Haque, A. Ekbal, P. Bhattacharyya, A. Way (2021).  Re-inforced NMT for Sentiment and Content Preservation in Low-resource Scenario. In ACM Transaction on Asian and Low-resource Languages (ACM TALLIP), Vol. 70, pp 1–27.
40 R. Kumari, Nischal A, T. Ghosal and A. Ekbal (2021). Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition. In Information Processing and Management (IPM), 58(5):102631, 2021, Elsevier
39R. Kumari and A. Ekbal (2021). AMFB: Attention based Multi-modal Factorized Bilinear Pooling for Multi-modal Fake News Detection. Expert Systems with Applications, Elsevier, https://doi.org/10.1016/j.eswa.2021.115412. 
38Deepak Gupta, Swati Suman, Asif Ekbal (2021). Hierarchical deep multi-modal network for medical visual question answering. Expert Syst. Appl. 164: 113993 (2021), Elsevier
37M Firdaus, N Thakur, A Ekbal (2021). Aspect-Aware Response Generation for Multimodal Dialogue System. ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-33
36Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way (2021). Neural machine translation of low-resource languages using SMT phrase pair injection. Nat. Lang. Eng. 27(3): 271-292 (2021)
35Mauajama Firdaus, Hitesh Golchha, Asif Ekbal, Pushpak Bhattacharyya (2021). A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling. Cogn. Comput. 13(3): 626-645 (2021)
2020
34M. Firdaus, A.P Shandilya and A. Ekbal (2020). More to Diverse:  Generating Diversified Responses in a Task Oriented Multimodal Dialog System. PLosONE
33S Yadav, S Ramesh, S Saha, A Ekbal (2020). Relation extraction from biomedical and clinical text: Unified multitask learning framework. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 
32S Yadav, P Ramteke, A Ekbal, S Saha, P Bhattacharyya (2020). Exploring Disorder-Aware Attention for Clinical Event Extraction. ACM Transactions on Multimedia Computing, Communications, and Applications. https://doi.org/10.1145/3372328
31M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System (2020). IEEE Transactions on Affective Computing, 10.1109/TAFFC.2020.3015491.
30Md Shad Akhtar, Deepanway Ghoshal, Asif Ekbal, Pushpak Bhattacharyya and Sadao Kurohashi (2020). All-in-One: Emotion, Sentiment and Intensity Prediction in a Multi-task Ensemble Framework. IEEE Transaction on Affective Computing (IEEE-TAC), 10.1109/TAFFC.2019.2926724. 
29S. Akhtar, T. Garg, A. Ekbal (2020). Multi-task Learning for Aspect Term Extraction and and  Sentiment  Classification.  In  Neurocomputing,  Elsevier, 398: 247-256 (2020).  
28Prashant Kapil, Asif Ekbal (2020).  A deep neural network based multi-task learning approach to hate speech detection. Knowl. Based Syst. 210: 106458 (2020)
27S. Kamila, M. Hasanuzzaman, A. Ekbal and P. Bhattacharyya (2020).  Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space. PLOS ONE, https://doi.org/10.1371/journal.pone.0211872. 
26Akhtar, M.S., Ekbal, A., Cambria, E. (2020). How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble. IEEE Computational Intelligence, 15( 1 ), 64 - 75 , 2020 , 10.1109/MCI.2019.2954667.
25T. Ghosal V. Edithal, A. Ekbal, P. Bhattacharyya, S. Chivukula, G. Tsatsaroni (2020). Is Your Document Novel? Let Attention Guide You. An Attention Based Model For Document Level Novelty Detection. Natural Language Engineering Journal, Cambridge University Press.
24S. Akhtar, D. Chauhan, A. Ekbal (2020). A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis. ACM Transaction on Knowledge Discovery from Data, ​​14(3), 32:1-32.
23S. Kamila, M. Hasanuzzaman, A. Ekbal and P. Bhattacharyya (2020). Measuring Temporal Distance Focus from Tweets and Investigating its Association with Psycho-demographic Attributes. IEEE Transaction on Affective Computing (IEEE-TAC), IEEE.
22D. Gupta, A. Ekbal and P. Bhattacharyya (2020). A Deep Neural Network Framework for English Hindi Question Answering. ACM Trans. Asian & Low-Resource Lang. Inf. Processing, 19(2): 25:1-25:22 (2020).
21Akhtar, M.S., Ekbal, A., Cambria, E. (2020) How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble, IEEE Computational Intelligence, 15( 1 ), 64 - 75 , 2020 , 10.1109/MCI.2019.2954667
2019
20M. Firdaus, A. Kumar, A. Ekbal and P. Bhattacharyya (2019). A Multi-task Hierarchical Approach for Intent Detection and Slot Filling. Knowledge based Systems, Elsevier, ttps://doi.org/10.1016/j.knosys.2019.07.017.
19Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, Siddhartha Bhattacharyya (2019). Assembling translations from multi-engine machine translation outputs. Appl. Soft Comput. 78: 230-239 (2019)
18Shweta Yadav, Asif Ekbal, Sriparna Saha (2019). Information theoretic-PSO-based feature selection: an application in biomedical entity extraction. Knowl. Inf. Syst. 60(3): 1453-1478 (2019)
17Shweta Yadav, Asif Ekbal, Sriparna Saha, Ankit Kumar, Pushpak Bhattacharyya (2019). Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction. Knowl. Based Syst. 166: 18-29.
16Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya (2019). Improving Word Embedding Coverage in Less-Resourced Languages Through Multi-Linguality and Cross-Linguality: A Case Study with Aspect-Based Sentiment Analysis. ACM Trans. Asian & Low-Resource Lang. Inf. Process. 18(2): 15:1-15:22.
15Sabyasachi Kamila, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya (2019). Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing. ACM Trans. Asian & Low-Resource Lang. Inf. Process. 18(2): 19:1-19:22
2018
14Shweta Yadav and Asif Ekbal and Sriparna Saha (2018). Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach.Soft Comput. vol. 22. pp. 6881-6904.
13Md. Shad Akhtar, Asif Ekbal, Sunny Narayan, Vikram Singh (2018). No, That Never Happened!! Investigating Rumors on Twitter. IEEE Intell. Syst. 33(5): 8-15 (2018)
2017
12Akhtar, M.S., Gupta, D., Ekbal, A. and Bhattacharyya, P., (2017). Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. Knowledge-Based Systems, 125, pp.116-135.
2016
11Asif Ekbal, Sriparna Saha, Utpal Kumar Sikdar (2016).  On active annotation for named entity recognition. In proceedings of Int. J. Machine Learning & Cybernetics. vol. 7(4). pp. 623-640. 
10Asif Ekbal, and Sriparna Saha (2016). Simultaneous feature and parameter selection using multiobjective optimization: application to named entity recognition. International Journal of Machine Learning and Cybernetics 7, no. 4 (2016): 597-611.
2015
9Asif Ekbal and Sriparna Saha (2015).  Joint model for feature selection and parameter optimization coupled with classifier ensemble in chemical mention recognition. Knowledge Based Systems, Elsevier, Vol. 85: 37-51.
8Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio (2015). Differential evolution-based feature selection technique for anaphora resolution. Soft computing. vol. 19(8). pp. 2149-2161.
7Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha (2015). Differential evolution-based feature selection technique for anaphora resolution. Soft computing. vol. 19(12). pp. 3529-3549.
2012
6Asif Ekbal, Sriparna Saha (2012). Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition. International Journal on Document Analysis and Recognition (IJDAR). vol. 15(2). pp. 143-166.
2011
5A.Ekbal and S. Saha (2011). Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach. ACM Transactions on Asian Language Information Processing (ACM TALIP), Vol. 2(9), ACM, DOI = 10.1145/1967293.1967296 http://doi.acm.org/10.1145/1967293.1967296.
4Asif Ekbal, Sriparna Saha (2011).  A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies. Expert System with Application, Elsevier, vol. 38(12). pp. 14760-14772.
3Asif Ekbal, Francesca Bonin, Sriparna Saha, Egon Stemle, Eduard Barbu, Fabio Cavulli, Christian Girardi, Massimo Poesio (2011). Rapid Adaptation of NE Resolvers for Humanities Domains using Active Annotation. Journal for Language Technology and Computational Linguistics. vol. 26(2). pp. 39-51.
2009
2Ekbal, Asif, Sudip Kumar Naskar and Sivaji Bandyopadhyay (2009). Named Entity Recognition and transliteration in Bengali. In Named Entities: Recognition, classification and use, 97–116, John Benjamins Publishing (special issue on NER)
2008
1Asif Ekbal, Sivaji Bandyopadhyay (2008). A web-based Bengali news corpus for named entity recognition. Lang. Resour. Evaluation 42(2): 173-182 (2008)

Workshop Publication

2019
19Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh, and Asif Ekbal, "IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT", in Proceedings of the 6th Competition on Legal Information Extraction/Entailment (COL-IEE'2019).
18Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh, and Asif Ekbal, "IITP at MEDIQA 2019: Systems report for natural language inference, question entailment and question answering", in Proceedings of the BioNLP 2019 workshop, Florence, Italy, August 1, 2019. Association for Computational Linguistics.
2018
17Arjun Roy, Prashant Kapil, Kingshuk Basak, Asif Ekbal, " An ensemble approach for aggression identification in english and hindi text", in Workshop at Coling 2018 (TRAC-1), 2018..
16Tirthankar Ghosal, Ravi Sonam, Sriparna Saha, Asif Ekbal and Pushpak Bhattacharyya, "Investigating Domain Features For Scope Detection and Classification of Scientific Articles", in WOSP, 2018..
2017
15Md Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti Pawar, Pushpak Bhattacharyya (2017). IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features. In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017, Copenhagen, Denmark. (Accepted).
14Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal and Pushpak Bhattacharyya (2018). Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing, ACM TALLIP 2018.
13Depanway Ghosal, Shobhit Bhatnagar, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya (2017). IITP at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), Vancouver, Canada, August 3 - 4, 2017, pages 899–903.
12Abhishek Kumar, Abhishek Sethi, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya (2017). IITP at SemEval-2017 Task 5: Sentiment Prediction in Financial Text. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017 Vancouver, Canada, August 3 - 4, 2017, pages 894–898.
11TVikram Singh, Sunny Narayan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya (2017). IITPB at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017 Vancouver, Canada, August 3 - 4, 2017, pages 488–492.
2016
10Sukanta Sen, Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, IITP English-Hindi Machine Translation System at WAT 2016, In Proceedings of the 3rd Workshop on Asian Translation (WAT2016), 2016.
9GIAN Workshop, Introduction to Natural Language Processing", May 2-8, 2016 (foreign expert: Prof. Sadao Kurohashi, Kyoto University, Japan).
8GIAN Workshop, Cognitive Science for Computational Linguists", December 8-14, 2016 (foreign expert: Prof. Massimo Poesio, University of Essex, United Kingdom)
7GIAN Workshop, Multiobjective Optimization, December 15-22, 2016 (foreign expert: Prof. Carlos A. Coello Coello, Mexico)
2013
6A. Ekbal, S. Saha and S. Girdhar (2013). Evolutionary Approach for Classifier Ensemble: An Application to Bio-molecular Event Extraction. In Advances in Intelligent Systems and Computing, Volume 182, 2013, Pages 9-15..
5S. Saha, A. Ekbal, S. Sharma, S. Bandyopadhyay and U. Maulik (2013). Protein Secondary Structure Prediction using Machine Learning. In Advances in Intelligent Systems and Computing, Volume 182, 2013, Pages 57-63.
2010
4A. Ekbal, S. Saha and C. S. Garbe (2010). Multiobjective Optimization Approach for Named Entity Recognition. PRICAI 2010: Trends in Artificial Intelligence, LNCS.
2009
3A. Ekbal and S. Bandyopadhyay (2009). Improving the Performance of a NER System by Post-processing, Context Patterns and Voting. W. Li and D. Molla-Aliod (Eds): ICCPOL 2009, Lecture Notes in Artificial Intelligence (LNAI).
2D. Das, A. Ekbal and S. Bandyopadhyay (2009). Acquiring Verb Subcategorization Frames in Bengali from Corpora. W. Li and D. Molla-Aliod (Eds): ICCPOL 2009, Lecture Notes in Artificial Intelligence (LNAI).
2006
1S. Bandyopadhyay, T. Mondal, S. K. Naskar, A. Ekbal, R. Haque and Srinivasa R. Godavarthy (2006). Bengali, Hindi and Telugu to English Ad-hoc Bilingual Task at CLEF 2007. Advances in Multilingual and Multimodal Information Retrieval, Vol. 5342/2008, Lecture Notes in Computer Science, Springer.