Natural Language Processing

We develop algorithms to process and understand natural language to aid interaction between computers and humans.

About

The group mainly works on natural language processing applications using Deep Learning. The primary focus of the group has been on Natural Language Generation problems (summarization, dialog systems, question answering etc.). We also explore problems at the intersection of vision and language. Our aim is to develop algorithms and systems based on domain knowledge building on top of recent advances in deep learning.

People

Ph.D Scholars

Publications

  1. Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay N. Sudarsanam D. Philip, B. Ravindran To appear in the Proceedings of the Fifty First Hawaii International Conference on System Sciences (2018)
  2. Correlational neural networks Sarath Chandar, Mitesh M Khapra, Hugo Larochelle, Balaraman Ravindran Neural computation (2016)
  3. Diversity driven Attention Model for Query-based Abstractive Summarization Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran To appear in the Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics (ACL 2017) (2017) pdf
  4. A correlational encoder decoder architecture for pivot based sequence generation Amrita Saha, Mitesh M Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho arXiv preprint arXiv:1606.04754 (2016)
  5. Show Me Your Evidence-an Automatic Method for Context Dependent Evidence Detection. Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M Khapra, Ehud Aharoni, Noam Slonim EMNLP (2015) 440--450
  6. When Transliteration Met Crowdsourcing: An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control. Mitesh M Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya LREC (2014) 196--202
  7. An autoencoder approach to learning bilingual word representations Sarath Chandar AP, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C Raykar, Amrita Saha Advances in Neural Information Processing Systems (2014) 1853--1861
  8. Bridge correlational neural networks for multilingual multimodal representation learning Janarthanan Rajendran, Mitesh M Khapra, Sarath Chandar, Balaraman Ravindran arXiv preprint arXiv:1510.03519 (2015)