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Frustratingly Hard Evidence Retrieval for QA Over Books (2007.09878v1)

Published 20 Jul 2020 in cs.CL and cs.IR

Abstract: A lot of progress has been made to improve question answering (QA) in recent years, but the special problem of QA over narrative book stories has not been explored in-depth. We formulate BookQA as an open-domain QA task given its similar dependency on evidence retrieval. We further investigate how state-of-the-art open-domain QA approaches can help BookQA. Besides achieving state-of-the-art on the NarrativeQA benchmark, our study also reveals the difficulty of evidence retrieval in books with a wealth of experiments and analysis - which necessitates future effort on novel solutions for evidence retrieval in BookQA.

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Authors (7)
  1. Xiangyang Mou (8 papers)
  2. Mo Yu (117 papers)
  3. Bingsheng Yao (49 papers)
  4. Chenghao Yang (25 papers)
  5. Xiaoxiao Guo (38 papers)
  6. Saloni Potdar (20 papers)
  7. Hui Su (38 papers)
Citations (10)

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