Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96916
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorChersoni, Een_US
dc.creatorHsu, YYen_US
dc.date.accessioned2023-01-04T01:33:27Z-
dc.date.available2023-01-04T01:33:27Z-
dc.identifier.urihttp://hdl.handle.net/10397/96916-
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.rights©2022 Association for Computational Linguisticsen_US
dc.rightsACL materials are Copyright © 1963–2023 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)en_US
dc.rightsThe following publication Emmanuele Chersoni and Yu-Yin Hsu. 2022. PolyU-CBS at TSAR-2022 Shared Task: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. In Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pages 225–230, Abu Dhabi, United Arab Emirates (Virtual). Association for Computational Linguistics is available at https://aclanthology.org/2022.tsar-1.24.en_US
dc.titlePolyU-CBS at TSAR-2022 : a simple, rank-based method for complex word substitution in two stepsen_US
dc.typeConference Paperen_US
dcterms.abstractIn this paper, we describe the system that we presented at the TSAR-2022 shared task regarding Lexical Simplification for English, Portuguese, and Spanish.en_US
dcterms.abstractWe proposed an unsupervised approach in two steps: First, we used a masked language model with word masking for each language to extract possible candidates for the replacement of the difficult word; in the second step, we ranked the candidates according to three different Transformer-based metrics.en_US
dcterms.abstractFinally, we determined our list of candidates based on the lowest average rank across different metrics.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn S. Štajner, H. Saggion, D. Ferrés, M. Shardlow, K. C. Sheang, K. North, M. Zampieri & W. Xu (Eds). Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), p. 225–230, Abu Dhabi, United Arab Emirates (Virtual). Association for Computational Linguistics, 2022en_US
dcterms.issued2022-12-08-
dc.relation.ispartofbookProceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)en_US
dc.relation.conferenceWorkshop on Text Simplification, Accessibility, and Readabilityen_US
dc.description.validate202212 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera1872-
dc.identifier.SubFormID46063-
dc.description.fundingSourceOthersen_US
dc.description.fundingText1-BD8Sen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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