Dr. Asif Ekbal

    Conference Publications
    NLP/Information Extraction/Text Mining

    1. 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). (Accepted, Core-A*)
    2. 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). (Accepted, Core-A*)
    3. 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). (Accepted, Core-A*)
    4. 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). (Accepted, Core-A*)
    5. 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. June 2 -7, 2019. Minneapolis, USA (accepted, Core-A, h5-index: 56).
    6. Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2019). Courteously Yours: Inducing courteous behaviour in Customer Care responses using Reinforced Pointer Generator Network. June 2 -7, 2019. Minneapolis, USA (accepted, Core-A, h5-index: 56).
    7. 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). June 2-6, 2019. Urbana-Champaign, Illinois (CORE rank A*)- Accepted.
    8. 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), June 2-6, 2019. Urbana-Champaign, Illinois (CORE rank A*)-Accepted.
    9. Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). A Multiview Clustering Approach To Identify Out-of-Scope Submissions. Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), June 2-6, 2019. Urbana-Champaign, Illinois. (CORE rank A*)- Accepted.
    10. 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), June 2-6, 2019. Urbana-Champaign, Illinois (CORE rank A*)- Accepted.
    11. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL), June 2-6, 2019. Urbana-Champaign, Illinois (CORE rank A*)-Accepted.
    12. 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. In Proceedings of CICLING, April 7-13, 2019, La Rochelle, France (h5 index-19, Core-B).
    13. Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya (2018). Text, Visual and Acoustic are Friends! A Multi-Modal Attention Framework for Utterance-Level Sentiment Prediction. In Proceedings of EMNLP, PP. 3454-3464, November 2- 4, 2018. Brussels, Belgium (Core-A, h5-index: 76).
    14. 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 (Core-A, h5-index: 76).
    15. Deepak Gupta, Pabitra Lenka, Asif Ekbal and Pushpak Bhattacharyya (2018). Code-Mixed Question Generation and a Neural Framework for Code-Mixed ,Question Answering. In Proceedings of CoNLL, pp. 119-130, November 3-4, 2018, Belgium (Core ranking: A).
    16. 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. (Core ranking: A).
    17. 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. (Core ranking: A).
    18. 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. Fort Worth, Texas. (Core ranking: A*).
    19. Tirthankar Ghosal, Asif Ekbal and Pushpak Bhattacharyya (2018). Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review. In the Doctoral Consortium of ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 333-334, June 3-6, 2018. Fort Worth, Texas. (Core ranking: A*).
    20. Mauajama Firdaus, Shobhit Bhatnagar, A. Ekbal, Pushpak Bhattacharyya: Intent Detection for Spoken Language Understanding Using a Deep Ensemble Model. In Proceedings of PRICAI 2018, pp. 629-642.
    21. D. Goshal, S. Akhtar, D. Chouhan, S. Poria, A. Ekbal and P. Bhattacharyya (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In Proceedings of the Empirical Methods on Natural Language Processing (EMNLP)- Accepted.
    22. N. Majumder, S. Poria, A. Gelbukh, S. Akhtar, E. Cambria and A. Ekbal. IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. Proceedings of the Empirical Methods on Natural Langu 1age Processing (EMNLP)- Accepted.
    23. D. Gupta, P. Lenka, A. Ekbal and P. Bhattacharyya (2018). Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural based Question Answering. In Proceeding of CoNLL 2018-Accepted.
    24. Deepak Gupta, Rajkumar Pujari, A. Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Geo Jain, Shubhashis Sengupta (2018). Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy. In Proceedings of COLING 2018, pp. 499-513.
    25. Tirthankar Ghosal, Vignesh Edithal, A. Ekbal, Pushpak Bhattacharyya, George Tsatsaronis, Srinivasa Satya Sameer Kumar Chivukula: Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. In Proceedings of COLING 2018, pp. 2802-2813.
    26. Mauajama Firdaus, Shobhit Bhatnagar, A. Ekbal and Pushpak Bhattacharyya (2018). A Deep Learning based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding. In Proceedings of the 25th International Conference on Neural Information Processing (ICONIP)-Accepted.
    27. D. Goshal, S. Akhtar, A. Ekbal and P. Bhattacharyya (2018). Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. In Proceedings of the 25th International Conference on Neural Information Processing (ICONIP)-Accepted.
    28. Sabyasachi Kamila, Md. Hasanuzzaman, A. Ekbal, Pushpak Bhattacharyya and Andy Way (2018). Fine-grained Temporal Orientation and its Relationship with Psycho-demographic Correlates. In Proceedings of the NAACL-HLT 2018, pp. 663-674, June 1-June 6, 2018 USA.
    29. Shad Akhtar, Palaash Sawant, Sukanta Sen, A. Ekbal, Pushpak Bhattacharyya and Andy Way (2018). Solving Data Sparsity for Aspect based Sentiment Analysis using Cross-linguality and Multi-linguality. In Proceedings of the NAACL-HLT 2018, pp. 572-582, June 1-June 6, 2018 USA.
    30. Shweta Yadav, A. Ekbal, Sriparna Saha and Pushpak Bhattacharyya and (2018). Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. In Proceedings of the NAACL-HLT 2018, pp. 271-277, June 1-June 6, 2018 USA.
    31. Tirthankar Ghosal, Rajeev Verma, A. Ekbal, Sriparna Saha, Pushpak Bhattacharyya: Investigating Impact Features in Editorial Pre-Screening of Research Papers. In Proceedings of JCDL 2018, pp. 333-334.
    32. S. Kamila, A. Ekbal and P. Bhattacharyya (2018). Sentence Level Temporality Detection using an Implicit Time-sensed Resource. In Proceedings of LREC-2018, May 7-12, 2018, Japan (accepted).
    33. T. Ghoshal, A. Devi, S. Tiwari, A. Ekbal and P. Bhattacharyya (2018). TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. In Proceedings of LREC-2018, May 7-12, 2018, Japan (accepted).
    34. S. Yadav, A. Ekbal, S. Saha and P. Bhattacharyya (2018). Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System. In Proceedings of LREC-2018, May 7-12, 2018, Japan (accepted).
    35. D. Gupta, A. Ekbal, S. Saha and P. Bhattacharyya (2018). MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi. In Proceedings of LREC-2018, May 7-12, 2018, Japan (accepted).
    36. D. Gupta, A. Ekbal, S. Saha and P. Bhattacharyya (2018). A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text.In Proceedings of LREC-2018, May 7-12, 2018, Japan (accepted).
    37. 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.
    38. S. Akhtar, A. Kumar, D. Ghosal, A. Ekbal and P. Bhattacharyya (2017). A Multi-layer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis, In Proceedings of the Empirical Methods for Natural Language Processing (EMNLP), 2017, pp. 540-546, Denmark.
    39. S. Akhtar, S. Kohail, A. Kumar, A. Ekbal and C. Biemann (2017). Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis. In NLDB 2017, June 21-23, Belgium.
    40. A. Khan, E. L. Mencia, A. Ekbal and J. Furnkranz (2017). Multiobjective Optimization based Feature Selection Technique for Multi-label Sentiment Analysis. In NLDB 2017, June 21-23, Belgium.
    41. A. Majumder, A. Ekbal and S. Naskar (2017). Feature Selection and Class Weight Tuning using Genetic Algorithm for Bio-molecular Event Extraction. In NLDB 2017, June 21-23, Belgium.
    42. T. Shaikh, S. Naskar, A. Ekbal and S. Bandyopadhyay (2017). Textual Entailment using Machine Translation Evaluation Metrics. In CICLING 2017.
    43. 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 European Chapter of the Association for Computational Linguistics (EACL 2017), April 3-7, Valencia, Spain.
    44. Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal(2017). Temporal Orientation of Tweets for Predicting Income of User. In Association for Computational Linguistics (ACL) 2017,  July 30, 2017-August 04, 2017, Canada
    45. S. Akhtar, S. Kohail, A. Kumar, A. Ekbal and C. Biemann (2017). Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis. In NLDB 2017, June 21-23, Belgium. 
    46. A. Khan, E. L. Mencia, A. Ekbal and J. Furnkranz (2017). Multiobjective Optimization based Feature Selection Technique for Multi-label Sentiment Analysis. In NLDB 2017, June 21-23, Belgium.
    47.   A. Majumder, A. Ekbal and S. Naskar (2017). Feature Selection and Class Weight Tuning using Genetic Algorithm for Bio-molecular Event Extraction. In NLDB 2017, June 21-23, Belgium.
    48. T. Shaikh, S. Naskar, A. Ekbal and S. Bandyopadhyay (2017). Textual Entailment using Machine Translation Evaluation Metrics. In CICLING 2017, Turkey.
    49. 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 European Chapter of the Association for Computational Linguistics (EACL 2017), April 3-7, Valencia, Spain.
    50. 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.
    51. Shweta, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2016). A Deep Learning Architecture for Protein-Protein Interaction Article Identification. In 23rd International Conference of Pattern Recognition (ICPR 2016), December 4-8, Mexico.
    52. Sukanta Sen, Debajyoty Banik,  Asif Ekbal and Pushpak Bhattacharyya (2016 ).  IITP English-Hindi Machine Translation System at WAT 2016. In proceeding of the 3rd Workshop on Asian Translation (WAT2016) in conjunction with COLING 2016, 11-16 Dec 2016, Osaka, Japan.
    53.  Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Molla and Kaushik Nandan (2016). Semi-supervised Clustering of Medical Text. In proceeding of the Workshop on Clinical Natural Language Processing (ClinicalNLP) in conjunction with COLING 2016, 11-16 Dec 2016, Osaka, Japan.
    54. Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2016). Deep Learning Architecture for Patient Data De-identification in Clinical Records. In proceeding of the Workshop on Clinical Natural Language Processing (ClinicalNLP) in conjunction with COLING 2016, 11-16 Dec 2016, Osaka, Japan
    55. Amit Majumder,  Asif Ekbal and Sudip Kumar Naskar (2016).  Biomolecular Event Extraction using a Stacked Generalization based Classifier. In proceeding of the 13th  International Conference on Natural Language Processing (ICON-2016), 17-20 Dec 2016, IIT-BHU Varanasi, India.
    56. Anwesh Sinha Ray,  Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2016).  Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval. In proceeding of the 13th  International Conference on Natural Language Processing (ICON-2016), 17-20 Dec 2016, IIT-BHU Varanasi, India.
    57. Debajyoty Banik, Sukanta Sen,  Asif Ekbal and Prof. Pushpak Bhattacharyya (2016).  Can SMT and RBMT Improve each other’s Performance?- An Experiment with English-Hindi Translation. In proceeding of the 13th  International Conference on Natural Language Processing (ICON-2016), 17-20 Dec 2016, IIT-BHU Varanasi, India.
    58. Deepak Gupta, Ankit Lamba,  Asif Ekbal and Pushpak Bhattacharyya (2016).  Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals. In proceeding of the 13th  International Conference on Natural Language Processing (ICON-2016), 17-20 Dec 2016, IIT-BHU Varanasi, India.
    59. Deepak Gupta, Shubham Tripathi,  Asif Ekbal and Pushpak Bhattacharyya (2016).  SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text. In proceeding of the NLP tools contests  in conjunction with ICON-2016, 17-20 Dec 2016, IIT-BHU Varanasi, India.
    60. Deepak Gupta, Shweta, Shubham Tripathi, Asif Ekbal and Pushpak Bhattacharyya (2016).  A Hybrid Approach for Entity Ext raction in Code-Mixed Social Media Data. In proceeding of the Workshop on Shared Task on Code Mix Entity Extraction in Indian Languages (CMEE-IL)  in conjunction with FIRE 2016, 07-10 Dec 2016, ISI-Kolkata, India.
    61. M. S. Akhtar, A. Ekbal and P. Bhattacharyya (2016). Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In proceeding of the 10th edition of the Language Resources and Evaluation Conference (LREC), 23-28 May 2016, Portoro, Slovenia.
    62. DipaweshPawar, Mohammed Hasanuzzaman and Asif Ekbal (2016). Building Tempo-HindiWordnet-A resource for temporal information access in Hindi. In proceeding of the 10th edition of the Language Resources and Evaluation Conference (LREC), 23-28 May 2016, Portorož, Slovenia.
    63. M. S. Akhtar, A. Ekbal and P. Bhattacharyya (2016). Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. In Proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), April 3–9, 2016, Konya, Turkey.
    64. Kumar, S. Kohail, A. Kumar, A. Ekbal and C. Biemann (2016). IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis. In SemEval-2016, Collocated with NAACL, USA,
    65. U. K. Sikdar, A. Ekbal and S. Saha. Feature Selection in Anaphora Resolution for Bengali: A Multiobjective Approach Symmetry for Developing Cluster Validity Indices. 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015),pp.252-263,2015.H5-index:17.
    66. Kumar, S. Kohail, A. Ekbal and C. Biemann (2015). IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition. MIKE: 684-693.
    67. D. Gupta, K. Reddy, Shweta and A. Ekbal (2015). PSO-ASent: Feature Selection using Particle Swarm Optimization for Aspect based Sentiment Analysis. In proceedings of NLDB-15, PP. 220-233, Passau, Germany, June 17-19, 2015.
    68. A. Kumar, C. Kansal and A. Ekbal (2015). Investigating Active Learning for Document-level Sentiment Analysis. In Social Networking Workshop, COMSNET-15, PP. 1-6, January 6-10, Bangalore.
    69. A. Majumder, M. Hasanuzzaman, A. Ekbal (2015). Feature Selection for Event Extraction in Biomedical Text. In International Conference on Advances in Pattern Recognition (CAPR), PP. 1-6, January 4-7, 2015, ISI Kolkata, India.
    70. A. Khan, A. Ekbal and E. Endelzo (2015). Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis. In Proceedings of ICON, December 12-13, 2015.
    71. Dhruv Gupta and Asif Ekbal (2014). Determining Trustworthiness in ECommerce Customer Reviews. In Proceedings of the 11th International Conference on Natural Language Processing (ICON-14), December 18-21, 2014, Goa, India.
    72. Govind, Asif Ekbal and Chris Biemann (2014). Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification. Proceedings of the 11th International Conference on Natural Language Processing (ICON-14), December 18-21, 2014, Goa, India.
    73. V. Singh, A. Khan and A. Ekbal (2014). Indian Institute of Technology-Patna: Sentiment Analysis in Twitter. In Proceedings of SemEval-14, COLING-14, August 23-24, 2014, pp. 341–345,
    74. D. Gupta and A. Ekbal (2014). IITP:Supervised Machine Learning for Aspect based Sentiment Analysis. In Proceedings of SemEval-14, COLING-14, August 23-24, 2014, pp. 319–323,
    75. R. Selvarajan and A. Ekbal (2014). IIT Patna: Supervised Approach for Sentiment Analysis in Twitter. In Proceedings of SemEval-14, COLING-14, August 23-24, 2014, pp. 324–328,
    76. U. Sikdar, A. Ekbal and S. Saha (2014). IITP: A Supervised Approach for Disorder Mention Detection andDisambiguation. In Proceedings of SemEval-14, COLING-14, August 23-24, 2014, pp. 314–318,
    77. U. Sikdar, A. Ekbal and S. Saha (2014). Modified Differential Evolution for Biochemical Name Recognizer. In A. Gelbukh (Ed.): CICLing 2014, Part I, LNCS 8403, pp. 225–236, 2014, Springer-Verlag Berlin Heidelberg 2014
    78. Ans Alghamdi, Francesca Bonin, Asif Ekbal, Sriparna Saha, Fabio Cavulli, Sara Tonelli, and Massimo Poesio (2014). Active Expert Learning for the Digital Humanities. In Proceedings of the Workshop on Semantic Technologies for Research in the Humanities and Social Sciences (STRiX).
    79. U. Sikdar, A. Ekbal, S. Saha, O. Uryupina and Massimo Poeiso (2013). Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language. In Proceedings of International Joint Conference on Natural Language Processing (IJCNLP), PP. 815-821, October 14-18, 2013, Japan
    80. U. K. Sikdar, A. Ekbal and S. Saha (2013). Domain-independent Model for Chemical Compound and Drug Name Recognition. In Proceedings of the Fourth BioCreative Challenge Evaluation Workshop vol. 2, PP. 158-161.
    81. A. Ekbal, S. Saha, D. Molla-Aliod, K. Ravikumar (2013). Multi-Objective Optimization for Clustering of Medical Publications. In Proceedings of the Australian Language Technology Association Workshop (ALTA) 2013, PP. 53-61, December 4-6, 2013, Australia.
    82. U.K. Sikdar, U.K., A. Ekbal, and S. Saha.(2013). Differential Evolution based Mention Detection for Anaphora Resolution. In India Conference (INDICON), 2013 Annual IEEE , pp.1,6, 13-15, Dec. 2013,
    83. Kolya, A. K., Kundu, A., Gupta, R., Ekbal, A., and Bandyopadhyay, S. (2013). JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations. In Second Joint Conference on Lexical and Computational Semantics (* SEM) (Vol. 2, pp. 64-72).
    84. A. K. Kolyal, A. Ekbal, S. Bandyopadhyay (2013). Using Voting Approach for Event Extraction and Event-DCT. Event-Time Relation Identification. In Proceeding of CICLING .
    85. U. 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.
    86. A. K. Kolya, D. Das, A. Ekbal, S. Bandyopadhyay (2012). Roles of Event Actors and Sentiment Holders in Identifying Event-Sentiment Association. CICLing (1) 2012: 513-525
    87. M. Poesio, E. Barbu, F. Bonin, F. Cavulli, E.W. Stemle, A. Ekbal, S. Saha, C. Girardi, F. Nardelli (2012). THE HUMANITIES RESEARCH PORTAL: Human Language Technology Meets Humanities Publication Repositories. In Proceedings of SDH.
    88. S. Saha, A. Ekbal, O. Uryupina, M. Poesio (2011). Single and Multi-objective Optimization for Feature Selection in Anaphora Resolution. In 5th International Joint Conference on Natural Language Processing (IJCNLP 2011), Thailand, November 8-13, PP. 93-101.
    89. A. Kolya, A. Ekbal and S. Bandyopadhyay (2011). A Hybrid Approach for Event Extraction and Event Actor Identification. In Recent Advances in Natural Language Processing (RANLP), Bulgaria, 592-597,
    90. D. Das, A. Kolya, A. Ekbal and S. Bandyopadhyay (2011). Temporal Analysis of Sentiment Events - A Visual Realization and Tracking, Alexander Gelbukh (Ed.), Vol. Part I. Springer-Verlag, Berlin, Heidelberg, 417-428 (CiCLing-11).
    91. A. Kolya, D. Das, A. Ekbal and S. Bandyopadhyay (2011). Identifying Event – Sentiment Association using Lexical Equivalence and Co-reference Approaches. In Proceedings of the Workshop on Relational Models of Semantics (RELMS), ACL 2011, Portland, Oregon PP.19-27.
    92. O. Uryupina, S. Saha, A. Ekbal and M. Poesio (2011). Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task. In Proceedings of the 15th Conference on Computational Natural Language Learning: Shared Task, PP. 61–65, June 23-24, USA.
    93. A. Ekbal, S. Saha, M. HasanuzzamanandU. K. Sikdar(2010). A Genetic Approach for Biomedical Named Entity Recognition. In Proceedings of the 22nd International Conference on Tools with Artificial Intelligence (ICTAI-2010), PP. 354-355, October 27-29, 2010, Arras, France
    94. A. Ekbal and S. Saha (2010). Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition. In 19th European Conference on Artificial Intelligence (ECAI 2010), Lisbon, Portugal, August 16-20, 2010, PP. 783-788.
    95. A. Kolya, A. Ekbal and S. Bandyopadhyay (2010). JU_CSE_TEMP: A First Step towards Evaluating Events, Time Expressions and Temporal Relations. In Proceedings of the 5th International Workshop on Semantic Evaluation, ACL 2010, July 15-16, Sweden, PP. 345–350.
    96. Asif Ekbal, SriparnaSaha, Christoph S. Garbe (2010). Feature Selection Using Multiobjective Optimization for Named Entity Recognition. In Proceedings of International Conference on Pattern Recognition (ICPR), PP. 1937-1940.
    97. A. Ekbal and S. Saha (2010). Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali. In 7th International Conference on Language Resources and Evaluation (LREC 2010), Malta, May 19-21, 2010.
    98. Asif Ekbal, Eva Sourjikova, Anette Frank, Simone Paolo Ponzetto(2010). Assessing the challenge of fine-grained named entity recognition and classification. In proceedings of the 2010 Named Entities Workshop. Association for Computational Linguistics. pp 93-101.
    99. A. Ekbal, S. Saha (2010). Weighted Vote Based Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition. Proceedings of NLDB (2010), LNCS, 6177, pp. 256-267, 2010. H5-index: 13.
    100. A. Ekbal, S. Saha and Md. Hasanuzzaman (2010). Multiobjective Approach for Feature Selection in Maximum Entropy Based Named Entity Recognition. Proceedings of 22th International Conference on Tools with Artificial Intelligence (ICTAI).Volume 1, pp. 323-326, 2010. H5-index: 16.
    101. A. Ekbal, S. Saha, U. K. Sikdar and Md. Hasanuzzaman (2010). A Genetic Approach for Biomedical Named Entity Recognition. Proceedings of 22th International Conference on Tools with Artificial Intelligence (ICTAI).Volume 1, pp. 354-355, 2010.
    102. A. Ekbal , M. Hasanuzzaman and S. Bandyopadhyay (2009). Voted Approach for Part of Speech Tagging in Bengali. In Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC-23), December 3-5, Hong Kong, PP. 120-129.
    103. T. Singh, K. Nongrmeikapa, A. Ekbal and S. Bandyopadhyay (2009). Named Entity Recognition for Manipuri using Support Vector Machine. In Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC-23), December 3-5, Hong Kong, PP.811-818.
    104. A. Ekbal and S. Bandyopadhyay (2009). Voted NER System using Appropriate Unlabeled Data. In Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration (NEWS 2009), ACL-IJCNLP 2009, August 7th, 2009, Singapore, PP. 202-210.
    105. A. Ekbal and S. Bandyopadhyay (2008). Multi-Engine Approach for Named Entity Recognition in Bengali. In Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation (PACILIC 2008), 169-178, Philipines.
    106. A. Ekbal and S. Bandyopadhyay (2008). Appropriate Unlabeled Data, Post-processing and Voting can Improve the Performance of NER System. In Proceedings of the6th International Conference on Natural Language Processing (ICON-08), pp. 234–239, India.
    107. T. Doren Singh, A. Ekbal and S. Bandyopadhyay (2008). Manipuri POS Tagging using CRF and SVM: A Language Independent Approach. In Proceedings of the6th International Conference on Natural Language Processing (ICON-08), India.
    108. A. Ekbal, R. Haque and S. Bandyopadhyay (2008). Named Entity Recognition in Bengali: A Conditional Random Field Approach. In Proceedings of the 3rd International Joint Conference on Natural Language Processing (IJCNLP-08), India, PP: 589-594.
    109. A. Ekbal, and S. Bandyopadhyay (2008). Development of Bengali Named Entity Tagged Corpus and its use in NER Systems. In Proceedings of the 6th Workshop on Asian Language Resources, 3rd International Joint Conference on Natural Language Processing (IJCNLP-08), India, PP: 1-8.
    110. A. Ekbal, and S. Bandyopadhyay (2008). Bengali Named Entity Recognition using Support Vector Machine. In Proceedings of the Workshop on Named Entity Recognition for South and South East Asian Languages, 3rd International Joint Conference on Natural Language Processing (IJCNLP-08), India, PP: 51-58.
    111. A. Ekbal, R. Haque, A. Das, V. Poka and S. Bandyopadhyay (2008). Language Independent Named Entity Recognition in Indian Languages. Proceedings of the Workshop on Named Entity Recognition for South and South East Asian Languages, 3rd International Joint Conference on Natural Language Processing (IJCNLP-08), India, PP: 33-40.
    112. A. Ekbal, and S. Bandyopadhyay (2007). Maximum Entropy Approach for Named Entity Recognition in Bengali. In Proceedings of the 7th International Symposium on Natural Language Processing (SNLP-07), 1-6, Thailand.
    113. A. Ekbal, R. Haque and S. Bandyopadhyay (2007). Bengali Part of Speech Tagging using Conditional Random Field. In Proceedings of the 7th International Symposium on Natural Language Processing (SNLP-07), 131-136, Thailand.
    114. A. Ekbal and S. Bandyopadhyay (2007) Lexical Pattern Learning from Corpus Data for Named Entity Recognition. In the Proceedings of 5th International Conference on Natural Language Processing (ICON 2007), 4-6 January, Hyderabad, India, PP.123-128.
    115. A. Ekbal and S. Bandyopadhyay (2007). Pattern Based Bootstrapping Method for Named Entity Recognition. In Proceedings of the 6th International Conference on Advances on Pattern Recognition (ICAPR 2007), 2-4 January 2007, ISI, Kolkata, India, PP.349-355.
    116. A. Ekbal, S. Mondal and S. Bandyopadhyay (2007). POS Tagging using HMM and Rule-based Chunking. In Proceedings of the Workshop on Shallow Parsing in South Asian Languages, International Joint Conference on Artificial Intelligence (IJCAI 2007), 6-12 January 2007, Hyderabad, India, PP. 25-28.
    117. A. Ekbal and S. Bandyopadhyay (2007). Transliteration of Named Entity: Bengali and English as Case Study. In Proceedings the 20th International Florida AI Research Society Conference (FLAIRS-2007), Florida, 223-228, AAAI Press.
    118. A. Ekbal, S. Naskar and S. Bandyopadhyay (2007). Language Independent Named Entity Transliteration. In Proceedings of 3rd Indian International Conference on Artificial Intelligence, Natural Language Independent Engineering Track, India, PP: 1936-1950.
    119. A. Ekbal and S. Bandyopadhyay (2007). Lexicon Development and POS Tagging using a Tagged Bengali News Corpus. In Proceedings of the 20th International Florida AI Research Society Conference (FLAIRS-2007), Florida, 261-262, AAAI Press.
    120. A. Ekbal (2006). Improvement of Prediction Accuracy using Discretization and Voting Classifier. Published in the Proceedings of 18th In International Conference on Pattern Recognition (ICPR), 20-24 August 2006, Hong Kong, China, PP: 1-4,
    121. A. 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.