Personalizing Lexical Simplification
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 27th International Conference on Computational Linguistics |
| Publisher | Association for Computational Linguistics |
| Pages | 224-232 |
| ISBN (print) | 9781948087506 |
| Publication status | Published - Aug 2018 |
Publication series
| Name | COLING - International Conference on Computational Linguistics, Proceedings |
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Conference
| Title | The 27th International Conference on Computational Linguistics (COLING 2018) |
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| Location | Santa Fe Community Convention Center |
| Place | United States |
| City | New Mexico |
| Period | 20 - 26 August 2018 |
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-s2.0-85057762556&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(4e880e35-839e-4992-8caf-32b1a2e571ae).html |
Abstract
Given an input text from the user, a lexical simplification (LS) system makes the text easier to understand by substituting difficult words with simpler words. The best substitution may vary from one user to another, given individual differences in vocabulary proficiency level. Most current systems, however, do not consider these variations, and are instead trained to find one optimal substitution or list of substitutions for all users. This paper measures the benefits of using complex word identification (CWI) models to personalize an LS system. Experimental results show that even a simple CWI model, based on graded vocabulary lists, can help reduce the number of unnecessary simplifications and complex words in the output for learners of English at different proficiency levels. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.
Research Area(s)
Citation Format(s)
Personalizing Lexical Simplification. / Lee, John; Yeung, Chak Yan.
Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, 2018. p. 224-232 (COLING - International Conference on Computational Linguistics, Proceedings).
Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, 2018. p. 224-232 (COLING - International Conference on Computational Linguistics, Proceedings).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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