{"title":"文本生成的词法链化过程","authors":"V. Shanthi, S. Lalitha","doi":"10.1109/PACC.2011.5978932","DOIUrl":null,"url":null,"abstract":"Lexical chains are defined as clusters of semantically related words. The Lexical chaining architecture integrates domain dependent statistical word associations into the chaining process. The statistical word associations represent an additional type of lexical cohesive relationship that is not found in WordNet. The architecture also recognizes the gloss definitions which identifies the relations between two concepts not directly related.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Lexical Chaining Process for Text Generations\",\"authors\":\"V. Shanthi, S. Lalitha\",\"doi\":\"10.1109/PACC.2011.5978932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lexical chains are defined as clusters of semantically related words. The Lexical chaining architecture integrates domain dependent statistical word associations into the chaining process. The statistical word associations represent an additional type of lexical cohesive relationship that is not found in WordNet. The architecture also recognizes the gloss definitions which identifies the relations between two concepts not directly related.\",\"PeriodicalId\":403612,\"journal\":{\"name\":\"2011 International Conference on Process Automation, Control and Computing\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Process Automation, Control and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACC.2011.5978932\",\"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 International Conference on Process Automation, Control and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACC.2011.5978932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lexical chains are defined as clusters of semantically related words. The Lexical chaining architecture integrates domain dependent statistical word associations into the chaining process. The statistical word associations represent an additional type of lexical cohesive relationship that is not found in WordNet. The architecture also recognizes the gloss definitions which identifies the relations between two concepts not directly related.
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