{"title":"用于解决歧义的基于上下文的域识别","authors":"P. Saktel, U. Shrawankar","doi":"10.1109/ICCCNT.2012.6396060","DOIUrl":null,"url":null,"abstract":"Context based Domain identification is a task of identifying correct domain of a word from the sentence. Domain identification is used to resolve ambiguity of words based on context of sentence. Context is a unique proof of meaning and its sentence. Hence, using this unique utility ambiguity is resolved. In this paper, the three stages are discussed which describes the previous and proposed work. This paper briefly focuses on second stage. The second stage describes the technique used to identify domain. After identification how the system is trained to select correct domain is explained. Lastly, the related results are shown. This paper describes usefulness of resolving ambiguity, which helps people to understand meaning of the sentence.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Context based domain identification for resolving ambiguity\",\"authors\":\"P. Saktel, U. Shrawankar\",\"doi\":\"10.1109/ICCCNT.2012.6396060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context based Domain identification is a task of identifying correct domain of a word from the sentence. Domain identification is used to resolve ambiguity of words based on context of sentence. Context is a unique proof of meaning and its sentence. Hence, using this unique utility ambiguity is resolved. In this paper, the three stages are discussed which describes the previous and proposed work. This paper briefly focuses on second stage. The second stage describes the technique used to identify domain. After identification how the system is trained to select correct domain is explained. Lastly, the related results are shown. This paper describes usefulness of resolving ambiguity, which helps people to understand meaning of the sentence.\",\"PeriodicalId\":364589,\"journal\":{\"name\":\"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2012.6396060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2012.6396060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Context based domain identification for resolving ambiguity
Context based Domain identification is a task of identifying correct domain of a word from the sentence. Domain identification is used to resolve ambiguity of words based on context of sentence. Context is a unique proof of meaning and its sentence. Hence, using this unique utility ambiguity is resolved. In this paper, the three stages are discussed which describes the previous and proposed work. This paper briefly focuses on second stage. The second stage describes the technique used to identify domain. After identification how the system is trained to select correct domain is explained. Lastly, the related results are shown. This paper describes usefulness of resolving ambiguity, which helps people to understand meaning of the sentence.