• DOI:10.18653/v1/W18-2609
Corpus ID: 7618554

Neural Models for Key Phrase Detection and Question Generation

@article{Subramanian2018NeuralMF,
  title={Neural Models for Key Phrase Detection and Question Generation},
  author={Sandeep Subramanian and T. Wang and Xingdi Yuan and Adam Trischler},
  journal={ArXiv},
  year={2018},
  volume={abs/1706.04560}
}

Sandeep Subramanian, T. Wang, +1 author Adam Trischler

Published 2018

Computer Science

ArXiv

We propose a two-stage neural model to tackle question generation from documents. First, our model estimates the probability that word sequences in a document are ones that a human would pick when selecting candidate answers by training a neural key-phrase extractor on the answers in a question-answering corpus. Predicted key phrases then act as target answers and condition a sequence-to-sequence question-generation model with a copy mechanism. Empirically, our key-phrase extraction model… CONTINUE READING

View on ACL

arxiv.org

Save to Library

Create Alert

Cite

Launch Research Feed