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  • 标题:AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
  • 本地全文:下载
  • 作者:Melissa Roemmele ; Deep Sidhpura ; Steve DeNeefe
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2021
  • 卷号:2021
  • 页码:40-52
  • DOI:10.18653/v1/2021.eacl-demos.6
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:One strategy for facilitating reading comprehension is to present information in a question-and-answer format. We demo a system that integrates the tasks of question answering (QA) and question generation (QG) in order to produce Q&A items that convey the content of multi-paragraph documents. We report some experiments for QA and QG that yield improvements on both tasks, and assess how they interact to produce a list of Q&A items for a text. The demo is accessible at qna.sdl.com.
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