CSSWiki : A Chinese Sentence Simplification Dataset with Linguistic and Content Operations
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) |
Publisher | European Language Resources Association (ELRA) |
Pages | 4205-4213 |
ISBN (print) | 9782493814104 |
Publication status | Published - 23 May 2024 |
Publication series
Name | Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING - Main Conference Proceedings |
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Conference
Title | 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) |
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Location | Hybrid |
Place | Italy |
City | Torino |
Period | 20 - 25 May 2024 |
Link(s)
Attachment(s) | Documents
Publisher's Copyright Statement
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Document Link | Links
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85195898547&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(4aa69b4b-ce1c-4b7d-9a60-91dbb82d9114).html |
Abstract
Sentence Simplification aims to make sentences easier to read and understand. With most effort on corpus development focused on English, the amount of annotated data is limited in Chinese. To address this need, we introduce CSSWiki, an open-source dataset for Chinese sentence simplification based on Wikipedia. This dataset contains 1.6k source sentences paired with their simplified versions. Each sentence pair is annotated with operation tags that distinguish between linguistic and content modifications. We analyze differences in annotation scheme and data statistics between CSSWiki and existing datasets. We then report baseline sentence simplification performance on CSSWiki using zero-shot and few-shot approaches with Large Language Models. © 2024 ELRA Language Resource Association
Research Area(s)
- Chinese sentence simplification, Corpus creation, Linguistic simplification operations, Content simplification operations
Citation Format(s)
CSSWiki: A Chinese Sentence Simplification Dataset with Linguistic and Content Operations. / Liu, Fengkai; Lee, John S. Y.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). European Language Resources Association (ELRA), 2024. p. 4205-4213 (Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING - Main Conference Proceedings).
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). European Language Resources Association (ELRA), 2024. p. 4205-4213 (Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING - Main Conference Proceedings).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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