A Dataset for Building Code-Mixed Goal Oriented Conversation Systems.
Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh Khapra
Appeared in
Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018 (COLING 2018),
pp.3766-3780, Aug 2018.
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions.
Soham Parikh, Ananya Sai B, Preksha Nema, Mitesh Khapra
Appeared in
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden. (IJCAI 2018),
pp.4272-4278, Jul 2018.
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension.
Mitesh Khapra, Amrita Saha, Karthik Sankaranarayanan, Rahul Aralikatte
Appeared in
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers (ACL 2018),
pp.1683-1693, Jul 2018.
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames.
Shweta Bhardwaj, Mitesh Khapra
Appeared in
2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018,
pp.1138-1142, Jun 2018.
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization.
Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh Khapra, Shreyas Shetty M
Appeared in
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers),
pp.622-627, Jun 2018.
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization.
Preksha Nema, Shreyas Shetty M, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh Khapra
Appeared in
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers),
pp.1539-1550, Jun 2018.
Learning Disentangled Multimodal Representations for the Fashion Domain.
Amrita Saha, Megha Nawhal, Mitesh Khapra, Vikas C. Raykar
Appeared in
2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018 (WACV 2018),
pp.557-566, Mar 2018.
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks.
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems.
Amrita Saha, Mitesh Khapra, Karthik Sankaranarayanan
Appeared in
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018,
Feb 2018.
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph.
A Concept Driven Graph Based Approach for Estimating the Focus Time of a Document.
Shashank Shrivastava, Mitesh Khapra, Sutanu Chakraborti
Appeared in
Mining Intelligence and Knowledge Exploration - 5th International Conference, MIKE 2017, Hyderabad, India, December 13-15, 2017, Proceedings (MIKE 2017),
Lecture Notes in Computer Science, Vol 10682, pp.250-260, Dec 2017.
Diversity driven attention model for query-based abstractive summarization.
Preksha Nema, Mitesh Khapra, Anirban Laha, Balaraman Ravindran
Appeared in
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers (ACL 2017),
pp.1063-1072, Aug 2017.
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model.
Mitesh Khapra, Dinesh Raghu, Sachindra Joshi, Sathish Reddy
Appeared in
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers (EACL 2017),
pp.376-385, Apr 2017.
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.
Substring-based unsupervised transliteration with phonetic and contextual knowledge.
Anoop Kunchukuttan, Pushpak Bhattacharyya, Mitesh Khapra
Appeared in
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, CoNLL 2016, Berlin, Germany, August 11-12, 2016,
pp.270-279, Aug 2016.
Multilingual Multimodal Language Processing Using Neural Networks.
Mitesh Khapra, Sarath Chandar
Appeared in
Tutorial Abstracts, NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016,
pp.6-7, Jun 2016.
Statistical Machine Translation between Related Languages.
Pushpak Bhattacharyya, Mitesh Khapra, Anoop Kunchukuttan
Appeared in
Tutorial Abstracts, NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016,
pp.17-20, Jun 2016.
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning.
Janarthanan Rajendran, Mitesh Khapra, Sarath Chandar A P, Balaraman Ravindran
Appeared in
NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016,
pp.171-181, Jun 2016.
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