{"title":"Using various term dependencies according to their utilities","authors":"Lixin Shi, Jian-Yun Nie","doi":"10.1145/1871437.1871655","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a model to integrate term dependencies. Different from previous studies, each pair of terms is assigned a different weight of dependency according to their utility to IR. The experiments show that our model can significantly outperform the previous dependency models using fixed weights.","PeriodicalId":310611,"journal":{"name":"Proceedings of the 19th ACM international conference on Information and knowledge management","volume":"88 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th ACM international conference on Information and knowledge management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1871437.1871655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In this paper, we propose a model to integrate term dependencies. Different from previous studies, each pair of terms is assigned a different weight of dependency according to their utility to IR. The experiments show that our model can significantly outperform the previous dependency models using fixed weights.