#Papers
- Teaching Machines to Read and Comprehend (2015)
- Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks (2015)
- Learning to Compose Neural Networks for Question Answering (2016)
- Learning Recurrent Span Representations for Extractive Question Answering(2016)
- [Machine Comprehension Using Match-LSTM and Answer Pointer] (https://arxiv.org/pdf/1608.07905.pdf) (2016)
- Words or Characters? Fine-grained Gating for Reading Comprehension(2016)
- End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension(2016)
- Multi-Perspective Context Matching for Machine Comprehension(2016)
- Dynamic Coattention Networks For Question Answering(2016)
- Bidirectional Attention Flow for Machine Comprehension(2016)
- Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus(2016)(Open Question Answering)