ParaQG: a system for generating questions and answers from paragraphs

Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

Generating syntactically and semantically valid and relevant questions from paragraphs is useful with many applications. Manual generation is a labour-intensive task, as it requires the reading, parsing and understanding of long passages of text. A number of question generation models based on sequence-to-sequence techniques have recently been proposed. Most of them generate questions from sentences only, and none of them is publicly available as an easy-to-use service. In this paper, we demonstrate ParaQG, a Web-based system for generating questions from sentences and paragraphs. ParaQG incorporates a number of novel functionalities to make the question generation process user-friendly. It provides an interactive interface for a user to select answers with visual insights on generation of questions. It also employs various faceted views to group similar questions as well as filtering techniques to eliminate unanswerable questions.

Original languageEnglish
Title of host publicationEMNLP-IJCNLP 2019, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing
Subtitle of host publicationProceedings of the Conference
EditorsJing Jiang, Vincent Ng, Xiaojun Wan
Place of PublicationStroudsburg PA USA
PublisherAssociation for Computational Linguistics (ACL)
Pages175-180
Number of pages6
ISBN (Electronic)9781950737925
Publication statusPublished - 2019
EventJoint Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing 2019 - Hong Kong, China
Duration: 3 Nov 20197 Nov 2019
Conference number: 9th
https://www.emnlp-ijcnlp2019.org (Website)
https://www.aclweb.org/anthology/volumes/D19-1/ (Proceedings)

Conference

ConferenceJoint Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing 2019
Abbreviated titleEMNLP-IJCNLP 2019
CountryChina
CityHong Kong
Period3/11/197/11/19
Internet address

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