Computer Science and Engineering
Indian Institute of Technology Madras
Chennai - 600 036
Email: miteshk followed by cse . iitm . ac . in
Room: BSB 349
(1) Natural Language Generation: Developing architectures based on the neural encode-attend-decode paradigm for generating query specific document summaries, generating descriptions from structured data, generating questions from knowledge graphs and unstructured documents.
(2) Conversation Systems: Building systems which can learn to converse from background knowledge available in domain-specific structured and unstructured resources.
(3) Question Answering: Building datasets (and systems) which require complex reasoning over multiple sentences in a document or multiple tuples in a knowledge graph.
(4) Multimodal Processing: Learning joint representation for entities across modalities. For example, learning a common representation for images and their captions. One of the goals is to use such joint representations for downstream applications such as multimodal conversations which involves conversing about a dynamic set of images
(5) (a little bit of) Computer Vision: Building compact models for image processing and video processing
[J03] Anoop Kunchukuttan, Mitesh Khapra, Gurneet Singh, Pushpak Bhattacharyya. Leveraging Orthographic Similarity for Multilingual Neural Transliteration. Transactions of Association of Computational Linguistics (TACL). 2018. (to appear) Neural Networks, Neural Computation, February 2016
[J02] Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran, Correlational Neural Networks, Neural Computation, February 2016
[J01] A Kumaran, Mitesh M. Khapra and Pushpak Bhattacharyya, Compositional Machine Translit- eration, accepted for publication in Transactions on Asian Language Information Processing (TALIP Journal), December 2010
[C26] Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra and Karthik Sankaranarayanan: DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, July, 2018.
[C25] Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M Khapra: ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July, 2018.
[C24] Preksha Nema, Shreyas Shetty M, Parag Jain, Anirban Laha, Karthik Sankaranarayanan and Mitesh M. Khapra: Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. In Proceedings of 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2018), New Orleans, June, 2018.
[C23] Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas Raykar: Learning Disentangled Multimodal Representations for the Fashion Domain. In the Proceedings of the Eighteenth IEEE Winter Conference on Applications of Computer Vision (WACV 2018), Lake Tahoe, NV/CA, USA, March 2018.
[C22] Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran: Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. In the Proceedings of the Eighteenth IEEE Winter Conference on Applications of Computer Vision (WACV 2018), Lake Tahoe, NV/CA, USA, March 2018.
[C21] Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar : Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, Louisiana, USA, February 2018.
[C20] Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan : Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, Louisiana, USA, February 2018.
[C19] Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran: Diversity driven attention model for query-based abstractive summarization. In the Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics (ACL 2017), Vancouver, Canada, July 2017.
[C18] Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, Sachindra Joshi: Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, April, 2017.
[C17] Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho: A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. Computational Linguistics Conference (COLING 2016), Osaka, Japan, December 2016
[C16] Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran: Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. In North American Association of Computational Linguistics (NAACL 2016), Atlanta, USA, June 2016, pp. 171–181.
[C15] Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim: Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. In Proceedings of Empirical Methods in Natural Language Processing (EMNLP 2015), Portugal, September 2015, pp. 440-450.
[C14] A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha, An Autoencoder Approach to Learning Bilingual Word Representations, Neural Information Processing Systems (NIPS 2014), Montreal, December 2014, pp. 1853-1861.
[C13] Mitesh M. Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya, When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland, May 2014, pp. 196-202
[C12] Mitesh M. Khapra, Ananthakrishnan Ramanathan, Karthik Visweswariah, Improving reordering performance using higher order and structural features, in North American Association of Computational Linguistics (NAACL 2013), Atlanta, USA, June 2013, pp. 315-324.
[C11] Karthik Visweswariah, Mitesh M. Khapra, Ananthakrishnan Ramanathan, Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation, in Annual Meeting of the Association of Computational Linguistics (ACL 2013), Bulgaria, August 2013, pp. 1275-1284.
[C10] Mitesh M. Khapra, Salil Joshi, Arindam Chatterjee and Pushpak Bhattacharyya, Together We Can: Bilingual Bootstrapping for WSD , Annual Meeting of the Association of Computational Linguistics (ACL 2011) Oregon, USA, June 2011, pp. 561-569.
[C09] Mitesh M. Khapra, Salil Joshi and Pushpak Bhattacharyya, It Takes Two to Tango: A Bilingual Unsupervised Approach for Estimating Sense Distributions using Expectation Maximization , 5th International Conference on Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand, November 2011, pp. 695-704.
[C08] Mitesh M. Khapra, Raghavendra Udupa, A. Kumaran, and Pushpak Bhattacharya, PR + RQ ≈ P Q: Transliteration Mining Using Bridge Language, in American Association for Artificial Intelligence (AAAI 2010) , July 2010.
[C07] Mitesh Khapra, Anup Kulkarni, Saurabh Sohoney and Pushpak Bhattacharyya, All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision, Conference of Association of Computational Linguistics (ACL 2010), Uppsala, Sweden, July 2010, pp. 1532-1541.
[C06] Harshada Gune, Mugdha Bapat, Mitesh Khapra and Pushpak Bhattacharyya, Verbs are where all the Action Lies: Experinces of Shallow Parsing of a Morphologically Rich Language, Computational Linguistics Conference (COLING 2010), Beijing, China, August 2010, pp. 347- 355.
[C05] Mitesh M. Khapra, Saurabh Sohoney, Anup Kulkarni and Pushpak Bhattacharyya, Value for Money: Balancing Annotation Effort, Lexicon Building and Accuracy for Multilingual WSD, Computational Linguistics Conference (COLING 2010), Beijing, China, August 2010, pp. 555-563.
[C04] Raghavendra Udupa and Mitesh M. Khapra, Transliteration Equivalence using Canonical Correlation Analysis, in European Conference on Information Retrieval (ECIR 2010), March 2010, UK, pp. 75-86.
[C03] Mitesh M. Khapra, A Kumaran and Pushpak Bhattacharyya. Everybody loves a rich cousin: An empirical study of transliteration through bridge languages, in North American Association of Computational Linguistics (NAACL 2010, June 2010, Los Angeles, USA, pp. 420-428.
[C02] Raghavendra Udupa and Mitesh M. Khapra. Improving the Multilingual User Experience of Wikipedia Using Cross-Language Name Search, in North American Association of Computational Linguistics (NAACL 2010), June 2010, Los Angeles, USA, pp. 420-428.
[C01] Mitesh M. Khapra, Sapan Shah, Piyush Kedia and Pushpak Bhattacharyya, Projecting Parameters for Multilingual Word Sense Disambiguation, Empirical Methods in Natural Language Processing (EMNLP 2009), Singapore, August, 2009, pp. 459-467.