{"title":"自然语言处理中语义消歧方法研究","authors":"Guohuan Lou, Zhang Hao, Honghui Wang","doi":"10.1109/WNIS.2009.21","DOIUrl":null,"url":null,"abstract":"Natural language processing is one of the most important applications in artificial intelligence (AI), while semantic disambiguation is one of branches and difficulties in natural language processing. This paper introduces three semantic disambiguation models, Bayesian Model, Hidden Markov Model, and Maximum Entropy Model. These three models are used to test and compare with. The results show that the correct rate of disambiguation used by Bayesian Model is the best one, the other two are also well. Every model has its own advantages.","PeriodicalId":280001,"journal":{"name":"2009 International Conference on Wireless Networks and Information Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on Methods of Semantic Disambiguation about Natural Language Processing\",\"authors\":\"Guohuan Lou, Zhang Hao, Honghui Wang\",\"doi\":\"10.1109/WNIS.2009.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Natural language processing is one of the most important applications in artificial intelligence (AI), while semantic disambiguation is one of branches and difficulties in natural language processing. This paper introduces three semantic disambiguation models, Bayesian Model, Hidden Markov Model, and Maximum Entropy Model. These three models are used to test and compare with. The results show that the correct rate of disambiguation used by Bayesian Model is the best one, the other two are also well. Every model has its own advantages.\",\"PeriodicalId\":280001,\"journal\":{\"name\":\"2009 International Conference on Wireless Networks and Information Systems\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wireless Networks and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WNIS.2009.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wireless Networks and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WNIS.2009.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Methods of Semantic Disambiguation about Natural Language Processing
Natural language processing is one of the most important applications in artificial intelligence (AI), while semantic disambiguation is one of branches and difficulties in natural language processing. This paper introduces three semantic disambiguation models, Bayesian Model, Hidden Markov Model, and Maximum Entropy Model. These three models are used to test and compare with. The results show that the correct rate of disambiguation used by Bayesian Model is the best one, the other two are also well. Every model has its own advantages.
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