{"title":"非经典词汇语义关系","authors":"Jane Morris, Graeme Hirst","doi":"10.3115/1596431.1596438","DOIUrl":null,"url":null,"abstract":"NLP methods and applications need to take account not only of \"classical\" lexical relations, as found in WordNet, but the less-structural, more context-dependent \"non-classical\" relations that readers intuit in text. In a reader-based study of lexical relations in text, most were found to be of the latter type. The relationships themselves are analyzed, and consequences for NLP are discussed.","PeriodicalId":405549,"journal":{"name":"Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics - CLS '04","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"138","resultStr":"{\"title\":\"Non-Classical Lexical Semantic Relations\",\"authors\":\"Jane Morris, Graeme Hirst\",\"doi\":\"10.3115/1596431.1596438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"NLP methods and applications need to take account not only of \\\"classical\\\" lexical relations, as found in WordNet, but the less-structural, more context-dependent \\\"non-classical\\\" relations that readers intuit in text. In a reader-based study of lexical relations in text, most were found to be of the latter type. The relationships themselves are analyzed, and consequences for NLP are discussed.\",\"PeriodicalId\":405549,\"journal\":{\"name\":\"Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics - CLS '04\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"138\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics - CLS '04\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1596431.1596438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics - CLS '04","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1596431.1596438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NLP methods and applications need to take account not only of "classical" lexical relations, as found in WordNet, but the less-structural, more context-dependent "non-classical" relations that readers intuit in text. In a reader-based study of lexical relations in text, most were found to be of the latter type. The relationships themselves are analyzed, and consequences for NLP are discussed.