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Research and Development




Publications in Conferences

2021

A. Kumar, T. Ghosal and A. Ekbal. A Deep Neural Architecture for Decision-Aware Meta-Review Generation. JCDL 2021.

S. Kumar, T. Ghosal, P. Bharti, A. Ekbal. Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews. JCDL 2021.


2020

M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation. In Proceedings of AAAI 2020 (Accepted).

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

M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations. Proceedings of COLING 2020 (Accepted).

D. Gupta, A. Ekbal and P. Bhattacharyya (2020). A Semi-supervised Approach to Generate the Code-mixed Text using Pre-trained Encoder and Transfer Learning. Proceedings of EMNLP Findings 2020 (accepted).

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

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

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

Zishan 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.

Tanik 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.

K. Jha, S. Saha, M. Khushi (2020). Protein-Protein Interactions Prediction based on Bi-directional Gated Recurrent Unit and Multimodal Representation. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

T. Saha, S. Chopra, S. Saha and P. Bhattacharyya (2020). Reinforcement learning based personalized neural response generation. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

D. Paul, S. Saha, J. Mathew (2020). Online Multi-objective Subspace Clustering for Streaming Data. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

N. Saini, S. Mansoori, S. Saha , P. Bhattacharyya (2020). Multi-tweet Summarization using Fusion of Two Neural Networks. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

Kamal 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.

Sayantan Mitra, Sriparna Saha. A Multi-task Multi-view based Multi-objective Clustering Algorithm. IEEE International Conference on Pattern Recognition (h5-index 38/ h5-median: 56).

NAVEEN SAINI, SUSHIL KUMAR, Sriparna Saha, Pushpak Bhattacharyya. Exploring Graph-based Feature for Scientific Document Summarization using Evolutionary Framework. IEEE International Conference on Pattern Recognition (h5-index 38/ h5-median: 56).

Shweta 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 (h5-index 38/ h5-median: 56).

N. Saini, S. Kumar, S. Saha, and P. Bhattacharyya (2020). Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. IEEE-CEC 2020 h5 INDEX: 66.

S. J. Giri and S. Saha (2020). Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities. IEEE-CEC 2020 h5 INDEX: 66.

R. Salgotra, U. Singh, S. Saha and A. H. Gandomi (2020). Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems. IEEE-CEC 2020 h5 INDEX: 66.

Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya (2020). Towards Emotion-aided Multi-modal Dialogue Act Classification. ACL 2020. Download.

Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, Pushpak Bhattacharyya (2020). Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis. ACL 2020. Download.

Pratik Dutta and Sriparna Saha (2020). Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification. ACL 2020.

Mauajama Firdaus, Naveen Thangavelu, Asif Ekbal, Pushpak Bhattacharyya (2020). Persona aware Response Generation with Emotions. IJCNN 2020.

S. Sangwan, M. S. Akhtar, P. Behera, and A. Ekbal (2020).I didn’t mean what I wrote! Exploring Multimodality for Sarcasm Detection. IJCNN 2020 (Core Rank : A).

Zishan Ahmad, Mukuntha N S, Asif Ekbal and Pushpak Bhattacharyya (2020). Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation. IJCNN 2020 (Core Rank : A).

Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya and Andy Way (2020). Syntax-Informed Interactive Neural Machine Translation. IJCNN 2020 (Core Rank : A).

Tanik Saikh, Haripriya B, Asif Ekbal and Pushpak Bhattacharyya (2020). A Deep Transfer Learning Approach for Fake News Detection. IJCNN 2020.

C. S. Kanani, S. Saha and P. Bhattacharyya (2020). Improving Diversity and Reducing Redundancy in Paragraph Captions. IJCNN 2020.

S. Sridhar, S. Saha, A. Shaikh, R. Yedida and S. Saha (2020). Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. IJCNN 2020.

Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya (2020). A Transformer based Approach for Identification of Tweet Acts. IJCNN 2020.

Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya (2020). Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning. IJCNN 2020.

Mamta, Asif Ekbal, Pushpak Bhattacharyya ,Shikha Srivastava, Alka Kumar, Tista Saha (2020). Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation. LREC 2020.

Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2020). CEASE, a Corpus of Emotion Annotated Suicide notes in English. LREC 2020. Download.

Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya (2020). A Platform for Event Extraction in Hindi. LREC 2020. Download.

Tanik Saikh, Asif Ekbal and Pushpak Bhattacharyya (2020). Dataset for Machine Reading Comprehension on Scholarly Articles. LREC 2020.

Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent. LREC 2020.

A. Jangra, A. Jatowt, M. Hasanuzzaman, and S. Saha (2019). Text-Image-Video Summary Generation using Joint Integer Linear Programming. ECIR 2020 (Core Ranking: A).


2019

Tanik Saikh, Arkadipta De, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Learning Approach for Automatic Detection of Fake News. ICON 2019.

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.

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.

Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal and Pushpak Bhattacharyya (2019). A Multi-task Model for Multilingual Trigger Detection and Classification. ICON 2019.

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).

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).

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).

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).

Naveen Saini, Sriparna Saha, Anurag Kumar, Pushpak Bhattacharyya (2019), Multi-document summarization using adaptive composite differential evolution. ICONIP 2019 (CORE rank A).

Naveen Saini, Rahul Grover, Sriparna Saha, Pushpak Bhattacharyya (2019), Scientific document clustering using granular self-organizing map. ICONIP 2019 (CORE rank A).

Dipanjyoti Paul, Abhishek Kumar, Sriparna Saha, Jimson Mathew (2019), Evolutionary based subspace clustering in multi-objective optimization framework. ICONIP 2019 (CORE rank A).

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. Download.

Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya (2019). Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders. ACL (CORE rank A*/h5-index: 87) Download.

Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (2019). A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining. ACL (CORE rank A*/h5-index: 87) Download.

Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (2019). Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System. ACL 2019.

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions. ACL (CORE rank A*/h5-index: 87) Download.

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.

Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya (2019). Tweet Act Classification: A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. IJCNN 2019 at Budapest, Hungary (CORE rank A/H-Index: 31).

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 at Budapest, Hungary (CORE rank A/H-Index: 31).

Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal and Pushpak Bhattacharyya (2019). To Comprehend the New: On Measuring the Freshness of a Document. IJCNN 2019 (CORE rank A/h5-index: 31)

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 (CORE rank A*).

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 (CORE rank A*).

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 (CORE rank A*).

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 (CORE rank A*).

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL 2019 (CORE rank A*).

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:HLT-2019.

Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2019). Courteously Yours: Inducing courteous behaviour in Customer Care responses using Reinforced Pointer Generator Network. NAACL:HLT-2019.

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,.

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.

Arjun Roy, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Ensemble Framework for Fake News Detection and Classification. CICLing 2019.

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. Download.

Zishan Ahmad, Deeksha Varshney, Asif Ekbal, Pushpak Bhattacharyya (2019). Multilingual Event Identification in Disaster Domain. CICLing 2019. Download.

Rijul Dhir, Santosh Kumar Mishra, Sriparna Saha, Pushpak Bhattacharyya (2019). A Deep Attention based Framework for Image Caption Generation in Hindi Language. CICLing 2019.

Debajyoty Banik, Asif Ekbal, and Pushpak Bhattacharyya. Two-phased Architecture for Dynamic Language Model. CICLing 2019.

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.

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.

Prashant Kapil, Asif Ekbal and Dipankar Das (2019). Investigating Deep Learning Approaches for Hate Speech Detection in Social Media, CICLing 2019.

Alan Aipe, Mukuntha N S, Asif Ekbal (2019). Sentiment-Aware Recommendation System for Healthcare using Social Media. CICLing 2019.


2018

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. Download.

3. Text, Visual and Acoustic are Friends! A Multi-Modal Attention Framework for Utterance-Level Sentiment Prediction. Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya, EMNLP 2018.

4. Modeling Inter-Aspect Relation in Aspect-Based Sentiment Analysis. Navonil Majumder, Soujanya Poria, Md Shad Akhtar, Erik Cambria, Alexander Gelbukh and Asif Ekbal, 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 (Core ranking: A).

11. Mauzama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya, "Intent Detection for Spoken Language Understanding using a Deep Ensemble Model", in PRICAI 2018 (Core ranking: B).

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", in COLING 2018 (Core ranking: A).

13. Sayantan Mitra, Mohammad Hasanuzzaman and Sriparna Saha, "Incorporating Deep Visual Features into Multiobjective based Multi-view Search Result Clustering", in COLING 2018 (Core ranking: A).

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", in COLING 2018 (Core ranking: A).

15. Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya, "Investigating Impact Features in Editorial Pre-Screening of Research Papers", in JCDL 2018 (Core ranking: A*).

16. Tirthankar Ghosal, "Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review", in JCDL 2018. (Core ranking: A*).

17. Alan Aipe, Mukuntha N S, Asif Ekbal and Sadao Kurohashi, "Deep Learning Approach towards Multi-label Classification of Crisis Related Tweets", in ISCRAM 2018.

18. R. Salgotra, U. Singh and Sriparna Saha (2018): "Improved Cuckoo Search With Better Search Capabilities For Solving CEC2017 Benchmark Problems", In the proceedings of IEEE CEC 2018, Brazil (Core ranking: B), (h5-index: 60).

19. Sumit Mishra, Sriparna Saha, Samrat Mondal (2018): "MBOS: Modified Best Order Sort Algorithm for Performing Non-dominated Sorting", In the proceedings of IEEE CEC 2018, Brazil (Core ranking: B), (h5-index: 60)

20. Naveen Saini, Sriparna Saha and Pushpak Bhattacharyya (2018): "Cascaded SOM: An Improved Technique for Automatic Email Classification", In the proceedings of IJCNN 2018, Brazil (Core Ranking: A), (h5-index=31).

21. Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya, "Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment", in NAACL-HLT 2018 (Core Ranking: A) (h5-index: 56).

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.", in NAACL-HLT 2018 (Core Ranking: A) (h5-index: 56).

23. Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. "Fine-grained Temporal Orientation and its Relationship with Psycho-demographic Correlates", in NAACL-HLT 2018 (Core Ranking: A) (h5-index: 56). Download.

24. Tanik Saikh, Debajyoty Banik, Asif Ekbal and Pushpak Bhattacharyya, "Machine Translation Evaluation Metrics for Recognizing Textual Entailment.", in CICLing 2018.

25. Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal, "Recognizing Textual Entailment Using Weighted Dependency Relations.", in CICLing 2018.

26. Deepak Gupta, Sarah Kohail and Pushpak Bhattacharyya, "Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering", in CICLing 2018.

27. Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya. "TAP-DLND 1.0: A Corpus for Document Level Novelty Detection.", in LREC 2018 (h5-index: 43).

28. Deepak Gupta, Surabhi Kumari, Asif Ekbal and Pushpak Bhattacharyya. "MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi.", in LREC 2018 (h5-index: 43).

29. Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya. "A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text.", in LREC 2018 (h5-index: 43).

30. Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya. "Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System.", in LREC 2018 (h5-index: 43).

31. Sabyasachi Kamila, Asif Ekbal, and Pushpak Bhattacharyya. "Sentence Level Temporality Detection using an Implicit Time-sensed Resource.", in LREC 2018 (h5-index: 43). Download.


2017

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. Download.

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 Ranking: 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 ürnkranz. "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 Ranking: A*) (h5-index: 87). Download.

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 Ranking: A) (h5-index: 31), 2017.


2016

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 Proc. IEEE 6th International Symposium on Electronic System Design, 2016.

6. Md Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya,"A Hybrid Deep Learning Architecture for Sentiment Analysis.", in COLING, 2016.

7. Shweta, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "A Deep Learning Architecture for Protein-Protein Interaction Article Identification", in 23rd International Conference on Pattern Recognition.

8. 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.

9. Sudipta Acharya, Asif Ekbal, Sriparna Saha, P. Santhanam, J. G. Moreno, G. Dias(2016), "Multi-Objective Word Sense Induction based on Content and Interlink Connections", in the proceedings of 21st International Conference on Applications of Natural Language to Information Systems(NLDB ), June 22-24, Manchester, UK.

10. Md Shad Akhtar, Asif Ekbal and Pushpak 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, Portoroz, Slovenia.

11. Md Shad Akhtar, Asif Ekbal and Pushpak 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.

12. Sumit Mishra, Sriparna Saha and Samrat Mondal (2016). An Automatic Framework for Entity Matching in Bibliographic Databases. In Proceedings of IEEE CEC 2016, Vancouver, Canada, July 24-29, 2016.

13. Sumit Mishra, Sriparna Saha and Samrat Mondal (2016). Divide and Conquer Based Non-dominated Sorting for Parallel Environment. In Proceedings of IEEE CEC 2016, Vancouver, Canada, July 24-29, 2016.

14. Sumit Mishra, Samrat Mondal, Sriparna Saha (2016). Fast Implementation of Steady State NSGA-II. In Proceedings of IEEE CEC 2016, Vancouver, Canada, July 24-29, 2016.

15. R. Das and Sriparna Saha, Gene Expression Data Classification using Automatic Differential Evolution Based Algorithm, In Proceedings of IEEE CEC 2016, Vancouver, Canada, July 24-29, 2016.

16. M. Pal, Sriparna Saha and S. Bandyopadhyay, Clustering based Online Automatic Objective Reduction to aid Many-Objective Optimization, In Proceedings of IEEE CEC 2016, Vancouver, Canada, July 24-29, 2016.

17. D. Pawar, M. Hasanuzzaman and Asif Ekbal , "Building Tempo-HindiWordnet - A resource for temporal information access in Hindi ", 10th edition of the Language Resources and Evaluation Conference (LREC) 2016

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