677 citations · 816 across the 8 of their papers we have counts for
3 papers · 1 filter
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre +5
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 supervis…
Natural Language Comprehension with the EpiReader
Adam Trischler, Zheng Ye, Xingdi Yuan +1
We present the EpiReader, a novel model for machine comprehension of text. Machine comprehension of unstructured, real-world text is a major research goal for natural language proc…
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
Adam Trischler, Zheng Ye, Xingdi Yuan +3
Understanding unstructured text is a major goal within natural language processing. Comprehension tests pose questions based on short text passages to evaluate such understanding.…