Deep Sidhpura

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2021

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AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
Melissa Roemmele | Deep Sidhpura | Steve DeNeefe | Ling Tsou
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations

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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