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        <title>AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents</title>
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    <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&amp;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&amp;A items for a text. The demo is accessible at qna.sdl.com.</abstract>
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%0 Conference Proceedings
%T AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
%A Roemmele, Melissa
%A Sidhpura, Deep
%A DeNeefe, Steve
%A Tsou, Ling
%Y Gkatzia, Dimitra
%Y Seddah, Djamé
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F roemmele-etal-2021-answerquest
%X 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.
%R 10.18653/v1/2021.eacl-demos.6
%U https://aclanthology.org/2021.eacl-demos.6/
%U https://doi.org/10.18653/v1/2021.eacl-demos.6
%P 40-52

Markdown (Informal)

[AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents](https://aclanthology.org/2021.eacl-demos.6/) (Roemmele et al., EACL 2021)

• AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents (Roemmele et al., EACL 2021)

ACL

• Melissa Roemmele, Deep Sidhpura, Steve DeNeefe, and Ling Tsou. 2021. AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 40–52, Online. Association for Computational Linguistics.