Sandeep Subramanian

Neural Architectures for Named Entity Recognition

2016

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.

Machine Comprehension by Text-to-Text Neural Question Generation

2017

Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler. Proceedings of the 2nd Workshop on Representation Learning for NLP. 2017.

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

2018 · PolyPublie (École Polytechnique de Montréal)

A lot of the recent success in natural language processing (NLP) has been driven by distributed vector representations of words trained on large amounts of text in an unsupervised manner. These representations are typically used …

Assessing Factoid Question-Answer Generation for Portuguese (Short Paper)

2017 · arXiv (Cornell University)

We propose a recurrent neural model that generates natural-language questions from documents, conditioned on answers. We show how to train the model using a combination of supervised and reinforcement learning. After teacher forcing for standard …