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

• URL: http://arxiv.org/abs/2103.03820v1
• Date: Fri, 5 Mar 2021 17:36:04 GMT
• Title: AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
• Authors: Melissa Roemmele, Deep Sidhpura, Steve DeNeefe and Ling Tsou
• Abstract summary: 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.
• Score: 1.0896567381206712
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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