{"title":"传统资源有助于解释文本","authors":"J. Gelernter, M. Lesk","doi":"10.1145/1458412.1458418","DOIUrl":null,"url":null,"abstract":"Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the \"bag of words\" model are well known, and raising the semantic level of representation will improve retrieval. This can be done by expanding words and user queries using traditional reference sources such as gazetteers and synonym lists or ontologies.","PeriodicalId":258166,"journal":{"name":"Workshop on Research Advances in Large Digital Book Repositories","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Traditional resources help interpret texts\",\"authors\":\"J. Gelernter, M. Lesk\",\"doi\":\"10.1145/1458412.1458418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the \\\"bag of words\\\" model are well known, and raising the semantic level of representation will improve retrieval. This can be done by expanding words and user queries using traditional reference sources such as gazetteers and synonym lists or ontologies.\",\"PeriodicalId\":258166,\"journal\":{\"name\":\"Workshop on Research Advances in Large Digital Book Repositories\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Research Advances in Large Digital Book Repositories\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1458412.1458418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Research Advances in Large Digital Book Repositories","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1458412.1458418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the "bag of words" model are well known, and raising the semantic level of representation will improve retrieval. This can be done by expanding words and user queries using traditional reference sources such as gazetteers and synonym lists or ontologies.