Savita Bhat
Savita Bhat
TCS Research
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Cited by
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QUEST: Discovering Insights from Survey Responses.
GK Palshikar, S Deshpande, SS Bhat
AusDM, 83-92, 2009
EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling
R Saxena, S Bhat, N Pedanekar
Proceedings of the Sixth International Workshop on Natural Language …, 2018
Automatically augmenting learning material with practical questions to increase its relevance
GK Singh, V Kumar, S Bhat, N Pedanekar
2015 IEEE Frontiers in Education Conference (FIE), 1-7, 2015
Assessing the Need of Augmenting Video Lectures with Supporting Information
GK Singh, A Doke, V Kumar, S Bhat, N Pedanekar
International Conference on Learning and Collaboration Technologies, 238-249, 2014
Automatically retrieving explanatory analogies from webpages
V Kumar, S Bhat, N Pedanekar
European Conference on Information Retrieval, 481-486, 2014
Familiarity breeds understanding Recommending explanatory analogies to learners
V Kumar, S Bhat, N Pedanekar
2014 IEEE International Conference on Teaching, Assessment and Learning for …, 2014
Unsupervised Gazette Creation Using Information Distance
S Patil, S Pawar, GK Palshikar, S Bhat, R Srivastava
International Conference on Application of Natural Language to Information …, 2013
Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts
R Saxena, S Bhat, N Pedanekar
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1042-1049, 2017
Stickipedia: A Search Engine and Repository for Explanatory Analogies
V Kumar, S Bhat, N Pedanekar
2015 IEEE 15th International Conference on Advanced Learning Technologies …, 2015
Which hat are you wearing today? Enabling perspectives while learning computer science
A Doke, GK Singh, V Kumar, S Bhat, N Pedanekar
2014 IEEE Frontiers in Education Conference (FIE) Proceedings, 1-4, 2014
iTAG: Analytics for Talent Acquisition
S Deshpande, S Bhat, S Pawar, R Srivastava, GK Palshikar
PMIA–An Efficient Approach to Computing Similarity over Ontologies in Very Large Case-Based Systems
A Gandhi, S Bhat, V Balaraman
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