Deepak Gupta
Deepak Gupta
National Library of Medicine (NLM) - National Institutes of Health (NIH), USA
Verified email at - Homepage
Cited by
Cited by
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis
MS Akhtar, D Gupta, A Ekbal, P Bhattacharyya
Knowledge-Based Systems 125, 116-135, 2017
Pso-asent: Feature selection using particle swarm optimization for aspect based sentiment analysis
DK Gupta, KS Reddy, A Ekbal
NLDB 2015, 220-233, 2015
IITP: supervised machine learning for aspect based sentiment analysis
DK Gupta, A Ekbal
SemEval 2014, 2014
A semi-supervised approach to generate the code-mixed text using pre-trained encoder and transfer learning
D Gupta, A Ekbal, P Bhattacharyya
EMNLP 2020 (Findings), 2267-2280, 2020
MMQA: A multi-domain multi-lingual question-answering framework for English and Hindi
D Gupta, S Kumari, A Ekbal, P Bhattacharyya
LREC 2018, 2018
Hierarchical deep multi-modal network for medical visual question answering
D Gupta, S Suman, A Ekbal
Expert Systems with Applications 164, 113993, 2021
Utilizing deep learning with an information retrieval mechanism to provide question answering in restricted domains
A Maitra, S Sengupta, GEO Tom, S Podder, R Pujari, D Gupta, A Ekbal, ...
US Patent App. 15/988,911, 2018
A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data
D Gupta, S Tripathi, A Ekbal, P Bhattacharyya
CEUR Workshop Proceedings, 66, 2016
A deep neural network framework for English Hindi question answering
D Gupta, A Ekbal, P Bhattacharyya
ACM Transactions - TALLIP 19 (2), 1-22, 2019
A deep neural network based approach for entity extraction in code-mixed Indian social media text
D Gupta, A Ekbal, P Bhattacharyya
LREC 2018, 2018
Uncovering code-mixed challenges: A framework for linguistically driven question generation and neural based question answering
D Gupta, P Lenka, A Ekbal, P Bhattacharyya
CoNLL 2018, 119-130, 2018
Can taxonomy help? improving semantic question matching using question taxonomy
D Gupta, R Pujari, A Ekbal, P Bhattacharyya, A Maitra, T Jain, S Sengupta
COLING 2018, 2021
SMPOST: parts of speech tagger for code-mixed indic social media text
D Gupta, S Tripathi, A Ekbal, P Bhattacharyya
arXiv preprint arXiv:1702.00167, 2017
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification
T Nandi, C Biemann, SM Yimam, D Gupta, S Kohail, A Ekbal, ...
SemEval 2017, 2017
Machine learning approach for language identification & transliteration
DK Gupta, S Kumar, A Ekbal
FIRE 2014, 60-64, 2014
Reinforced Multi-task Approach for Multi-hop Question Generation
D Gupta, H Chauhan, AR Tej, A Ekbal, P Bhattacharyya
COLING 2020, 2020
Question-aware transformer models for consumer health question summarization
S Yadav, D Gupta, AB Abacha, D Demner-Fushman
Journal of Biomedical Informatics 128, 104040, 2022
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization
S Yadav, M Sarrouti, D Gupta
BioNLP-NAACL 2021, 291-301, 2021
Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals
AEPB Deepak Gupta, Ankit Lamba
ICON 2016, 249-258, 2016
A dataset for medical instructional video classification and question answering
D Gupta, K Attal, D Demner-Fushman
arXiv preprint arXiv:2201.12888, 2022
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