Corpus ID: 1460418

Query-Reduction Networks for Question Answering

@article{Seo2017QueryReductionNF,
  title={Query-Reduction Networks for Question Answering},
  author={Minjoon Seo and Sewon Min and Ali Farhadi and Hannaneh Hajishirzi},
  journal={arXiv: Computation and Language},
  year={2017}
}
  • Minjoon Seo, Sewon Min, +1 author Hannaneh Hajishirzi
  • Published 2017
  • Computer Science
  • arXiv: Computation and Language
  • In this paper, we study the problem of question answering when reasoning over multiple facts is required. [...] Key Method QRN considers the context sentences as a sequence of state-changing triggers, and reduces the original query to a more informed query as it observes each trigger (context sentence) through time. Our experiments show that QRN produces the state-of-the-art results in bAbI QA and dialog tasks, and in a real goal-oriented dialog dataset. In addition, QRN formulation allows parallelization on…Expand Abstract

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