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.
Cite
CITATION STYLE
Roemmele, M., Sidhpura, D., DeNeefe, S., & Tsou, L. (2021). Answer quest: A system for generating question-answer items from multi-paragraph documents. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations (pp. 40–52). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.eacl-demos.6
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