{"title":"RCML在TSAR-2022共享任务:词汇简化与模块化替代候选排序","authors":"Desislava Aleksandrova, Olivier Brochu Dufour","doi":"10.18653/v1/2022.tsar-1.29","DOIUrl":null,"url":null,"abstract":"This paper describes the lexical simplification system RCML submitted to the English language track of the TSAR-2022 Shared Task. The system leverages a pre-trained language model to generate contextually plausible substitution candidates which are then ranked according to their simplicity as well as their grammatical and semantic similarity to the target complex word. Our submissions secure 6th and 7th places out of 33, improving over the SOTA baseline for 27 out of the 51 metrics.","PeriodicalId":247582,"journal":{"name":"Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking\",\"authors\":\"Desislava Aleksandrova, Olivier Brochu Dufour\",\"doi\":\"10.18653/v1/2022.tsar-1.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the lexical simplification system RCML submitted to the English language track of the TSAR-2022 Shared Task. The system leverages a pre-trained language model to generate contextually plausible substitution candidates which are then ranked according to their simplicity as well as their grammatical and semantic similarity to the target complex word. Our submissions secure 6th and 7th places out of 33, improving over the SOTA baseline for 27 out of the 51 metrics.\",\"PeriodicalId\":247582,\"journal\":{\"name\":\"Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/2022.tsar-1.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/2022.tsar-1.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking
This paper describes the lexical simplification system RCML submitted to the English language track of the TSAR-2022 Shared Task. The system leverages a pre-trained language model to generate contextually plausible substitution candidates which are then ranked according to their simplicity as well as their grammatical and semantic similarity to the target complex word. Our submissions secure 6th and 7th places out of 33, improving over the SOTA baseline for 27 out of the 51 metrics.
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