{"title":"基于多源的词义消歧知识库研究","authors":"Ling Che, Yangsen Zhang","doi":"10.1109/ISA.2011.5873439","DOIUrl":null,"url":null,"abstract":"Although there are many resources used in Natural Language Process, a specialized knowledge base used in word sense disambiguation(WSD) is still a shortage. By extracting knowledge from different resources and using them, we can improve the accuracy rate of word sense disambiguation. In this article, we use different methods existed to extract properties from The Grammatical Knowledge-base of Contemporary Chinese(GKB), HowNet, The Word-Sense Tagging Corpus (STC) and The Semantic Knowledge-base of Contemporary Chinese(SKCC) to build a specific knowledge base, which can help us with Chinese word sense disambiguation.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"66 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Study on Word Sense Disambiguation Knowledge Base Based on Multi-Sources\",\"authors\":\"Ling Che, Yangsen Zhang\",\"doi\":\"10.1109/ISA.2011.5873439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there are many resources used in Natural Language Process, a specialized knowledge base used in word sense disambiguation(WSD) is still a shortage. By extracting knowledge from different resources and using them, we can improve the accuracy rate of word sense disambiguation. In this article, we use different methods existed to extract properties from The Grammatical Knowledge-base of Contemporary Chinese(GKB), HowNet, The Word-Sense Tagging Corpus (STC) and The Semantic Knowledge-base of Contemporary Chinese(SKCC) to build a specific knowledge base, which can help us with Chinese word sense disambiguation.\",\"PeriodicalId\":128163,\"journal\":{\"name\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"volume\":\"66 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISA.2011.5873439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISA.2011.5873439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Word Sense Disambiguation Knowledge Base Based on Multi-Sources
Although there are many resources used in Natural Language Process, a specialized knowledge base used in word sense disambiguation(WSD) is still a shortage. By extracting knowledge from different resources and using them, we can improve the accuracy rate of word sense disambiguation. In this article, we use different methods existed to extract properties from The Grammatical Knowledge-base of Contemporary Chinese(GKB), HowNet, The Word-Sense Tagging Corpus (STC) and The Semantic Knowledge-base of Contemporary Chinese(SKCC) to build a specific knowledge base, which can help us with Chinese word sense disambiguation.
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