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 language | English |
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Title of host publication | EMNLP-IJCNLP 2019, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing |
Subtitle of host publication | Proceedings of the Conference |
Editors | Jing Jiang, Vincent Ng, Xiaojun Wan |
Place of Publication | Stroudsburg PA USA |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 175-180 |
Number of pages | 6 |
ISBN (Electronic) | 9781950737925 |
Publication status | Published - 2019 |
Event | Joint Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing 2019 - Hong Kong, China Duration: 3 Nov 2019 → 7 Nov 2019 Conference number: 9th https://www.emnlp-ijcnlp2019.org (Website) https://www.aclweb.org/anthology/volumes/D19-1/ (Proceedings) |
Conference
Conference | Joint Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing 2019 |
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Abbreviated title | EMNLP-IJCNLP 2019 |
Country/Territory | China |
City | Hong Kong |
Period | 3/11/19 → 7/11/19 |
Internet address |
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