{"title":"Using abstracts to classify life medicine papers","authors":"T. Yoshida, H. Ohwada","doi":"10.1109/ICSAI.2012.6223506","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed the technique of judging from the abstract whether life medical literature relates to the protein interaction. More specifically,we identified the technical terms by a rule base, and created the feature vector. Then we applied the technique to the data set of BioCreative, and obtained the result which exceeds the existing technique in recall as a result.","PeriodicalId":164945,"journal":{"name":"2012 International Conference on Systems and Informatics (ICSAI2012)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Systems and Informatics (ICSAI2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2012.6223506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we proposed the technique of judging from the abstract whether life medical literature relates to the protein interaction. More specifically,we identified the technical terms by a rule base, and created the feature vector. Then we applied the technique to the data set of BioCreative, and obtained the result which exceeds the existing technique in recall as a result.