{"title":"使用回指消解理解文本","authors":"K. Karthikeyan, V. Karthikeyani","doi":"10.1109/ICPRIME.2013.6496498","DOIUrl":null,"url":null,"abstract":"Anaphora is one of the mostly attractive phenomenons in computational linguistics for resolving anaphora with preceding and succeeding referent. The ability to perform Anaphora Resolution is important in NLP application. Traditional research focus on resolving particular type of anaphora only, no one integrates methods or procedure to resolve all type of anaphora. In this paper, we identify all type of anaphora with layered or step by step approach so that everyone utilize anaphora paradigm in their application. We proposed a new enhanced framework in which all required rules of resolution are perform, the new system extract most accuracy antecedents of anaphora.","PeriodicalId":123210,"journal":{"name":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Understanding text using Anaphora Resolution\",\"authors\":\"K. Karthikeyan, V. Karthikeyani\",\"doi\":\"10.1109/ICPRIME.2013.6496498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Anaphora is one of the mostly attractive phenomenons in computational linguistics for resolving anaphora with preceding and succeeding referent. The ability to perform Anaphora Resolution is important in NLP application. Traditional research focus on resolving particular type of anaphora only, no one integrates methods or procedure to resolve all type of anaphora. In this paper, we identify all type of anaphora with layered or step by step approach so that everyone utilize anaphora paradigm in their application. We proposed a new enhanced framework in which all required rules of resolution are perform, the new system extract most accuracy antecedents of anaphora.\",\"PeriodicalId\":123210,\"journal\":{\"name\":\"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPRIME.2013.6496498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPRIME.2013.6496498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Anaphora is one of the mostly attractive phenomenons in computational linguistics for resolving anaphora with preceding and succeeding referent. The ability to perform Anaphora Resolution is important in NLP application. Traditional research focus on resolving particular type of anaphora only, no one integrates methods or procedure to resolve all type of anaphora. In this paper, we identify all type of anaphora with layered or step by step approach so that everyone utilize anaphora paradigm in their application. We proposed a new enhanced framework in which all required rules of resolution are perform, the new system extract most accuracy antecedents of anaphora.