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Hierarchical Deep Multi-modal Network for Medical Visual Question Answering

Sep 27, 2020
Deepak Gupta, Swati Suman, Asif Ekbal

* Accepted for publication at Expert Systems with Applications 

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Assessing the Severity of Health States based on Social Media Posts

Sep 21, 2020
Shweta Yadav, Joy Prakash Sain, Amit Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya


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Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework

Sep 20, 2020
Shweta Yadav, Srivatsa Ramesh, Sriparna Saha, Asif Ekbal

* Accepted for publication at IEEE/ACM Transaction on Computational Biology and Bioinformatics 

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Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation

Aug 21, 2020
Zishan Ahmad, Mukuntha N S, Asif Ekbal, Pushpak Bhattacharyya

* Accepted in IJCNN-2020 

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Exploiting stance hierarchies for cost-sensitive stance detection of Web documents

Jul 29, 2020
Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze

* 10 pages; 4 figures 

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Investigating Deep Learning Approaches for Hate Speech Detection in Social Media

May 29, 2020
Prashant Kapil, Asif Ekbal, Dipankar Das

* 12 pages, 2 figures, 8 tables. Accepted in CICLing: International Conference on Computational Linguistics and Intelligent Text Processing, 2019. Modified after reviewer comments 

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A Deep Learning Approach for Automatic Detection of Fake News

May 11, 2020
Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya


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Reinforced Multi-task Approach for Multi-hop Question Generation

Apr 07, 2020
Deepak Gupta, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya


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Related Tasks can Share! A Multi-task Framework for Affective language

Feb 06, 2020
Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

* 12 pages, 3 figures and 3 tables. Accepted in 20th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2019. To be published in Springer LNCS volume 

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A Deep Neural Framework for Contextual Affect Detection

Jan 28, 2020
Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya

* LNCS, volume 11955 Year - 2019 Pg 398-409 
* 12 pages, 5 tables and 3 figures. Accepted in ICONIP 2019 (International Conference on Neural Information Processing) Published in Lecture Notes in Computer Science, vol 11955. Springer, Cham https://link.springer.com/chapter/10.1007/978-3-030-36718-3_34 

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Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis

Nov 28, 2019
Abhishek Kumar, Asif Ekbal, Daisuke Kawahra, Sadao Kurohashi

* Accepted in the Proceedings of The 2019 IEEE International Joint Conference on Neural Networks (IJCNN 2019) 

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Sentiment-Aware Recommendation System for Healthcare using Social Media

Sep 18, 2019
Alan Aipe, Mukuntha Narayanan Sundararaman, Asif Ekbal

* Accepted at the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), April 7-13, 2019, La Rochelle, France; Springer LNCS Proceedings for CICLing 2019 

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IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering

Jun 14, 2019
Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh, Asif Ekbal


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Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis

May 14, 2019
Md Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya

* Accepted for publication in NAACL:HLT-2019 

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Relation extraction between the clinical entities based on the shortest dependency path based LSTM

Mar 24, 2019
Dhanachandra Ningthoujam, Shweta Yadav, Pushpak Bhattacharyya, Asif Ekbal


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A Deep Ensemble Framework for Fake News Detection and Classification

Nov 12, 2018
Arjun Roy, Kingshuk Basak, Asif Ekbal, Pushpak Bhattacharyya

* 6 pages, 1 figure, accepted as a short paper in Web Intelligence 2018 (https://webintelligence2018.com/accepted-papers.html), title changed from {"Going Deep to Detect Liars" Detecting Fake News using Deep Learning} to {A Deep Ensemble Framework for Fake News Detection and Classification} as per reviewers suggestion 

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Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network

Nov 01, 2018
Hitesh Golchha, Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya

* To be appear in the proceedings of ICON 2018 

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Time-Aware and Corpus-Specific Entity Relatedness

Oct 23, 2018
Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal, Stefan Dietze, Pavlos Fafalios


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A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction

Oct 15, 2018
Md Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, Sadao Kurohashi


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Leveraging Medical Sentiment to Understand Patients Health on Social Media

Jul 30, 2018
Shweta Yadav, Joy Sain, Amit Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya


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Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts

Jul 05, 2018
Shweta Yadav, Ankit Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya


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TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection

Feb 20, 2018
Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya

* Accepted for publication in Language Resources and Evaluation Conference (LREC) 2018 

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Auto Analysis of Customer Feedback using CNN and GRU Network

Oct 12, 2017
Deepak Gupta, Pabitra Lenka, Harsimran Bedi, Asif Ekbal, Pushpak Bhattacharyya


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SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text

Feb 02, 2017
Deepak Gupta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya

* 5 pages, ICON 2016 

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CRDT: Correlation Ratio Based Decision Tree Model for Healthcare Data Mining

Sep 24, 2015
Smita Roy, Samrat Mondal, Asif Ekbal


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