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 |
|---|---|
| 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 |
|---|---|
| Abbreviated title | EMNLP-IJCNLP 2019 |
| Country/Territory | China |
| City | Hong Kong |
| Period | 3/11/19 → 7/11/19 |
| Internet address |
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