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arXiv 2103.03820cs.CL

AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents

SDL Research(SDL研究机构)

Melissa Roemmele, Deep Sidhpura, Steve DeNeefe, Ling Tsou

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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