{"title":"一种基于语义的改进词相似度算法","authors":"Dongsen Si, Cao Boyan, Zeng-zhi Li, Gao Qiang","doi":"10.1109/ISISE.2010.33","DOIUrl":null,"url":null,"abstract":"Presents a Word Similarity Algorithm based on Thesaurus, Made two changes to the structure of Thesaurus to accurately reflect the semantic distance, the algorithm took into account the Thesaurus classification for different parts of speech, the Thesaurus density, the relationship between words and so on. Experiments show that this method can significantly improve the quality of similarity calculation.","PeriodicalId":206833,"journal":{"name":"2010 Third International Symposium on Information Science and Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Improved Word Similarity Algorithm Based on Semantic\",\"authors\":\"Dongsen Si, Cao Boyan, Zeng-zhi Li, Gao Qiang\",\"doi\":\"10.1109/ISISE.2010.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a Word Similarity Algorithm based on Thesaurus, Made two changes to the structure of Thesaurus to accurately reflect the semantic distance, the algorithm took into account the Thesaurus classification for different parts of speech, the Thesaurus density, the relationship between words and so on. Experiments show that this method can significantly improve the quality of similarity calculation.\",\"PeriodicalId\":206833,\"journal\":{\"name\":\"2010 Third International Symposium on Information Science and Engineering\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Symposium on Information Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISISE.2010.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Symposium on Information Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISISE.2010.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Word Similarity Algorithm Based on Semantic
Presents a Word Similarity Algorithm based on Thesaurus, Made two changes to the structure of Thesaurus to accurately reflect the semantic distance, the algorithm took into account the Thesaurus classification for different parts of speech, the Thesaurus density, the relationship between words and so on. Experiments show that this method can significantly improve the quality of similarity calculation.
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