{"title":"Temporal Relations with Signals: The Case of Italian Temporal Prepositions","authors":"Tommaso Caselli, F. Dell’Orletta, I. Prodanof","doi":"10.1109/TIME.2009.23","DOIUrl":null,"url":null,"abstract":"This paper presents a Maximum Entropy tagger for the identification of intra-sentential temporal relations between temporal expressions and eventualities mediated by temporal signals in constructions of the kind \"eventuality + signal + temporal relation\". The tagger reports an accuracy rate of 90.8%, outperforming the baseline (81.8%). One of the main results of this work is represented by the identification of a set of robust features which may be automatically obtained with a relative computational effort.","PeriodicalId":163298,"journal":{"name":"2009 16th International Symposium on Temporal Representation and Reasoning","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Symposium on Temporal Representation and Reasoning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIME.2009.23","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
This paper presents a Maximum Entropy tagger for the identification of intra-sentential temporal relations between temporal expressions and eventualities mediated by temporal signals in constructions of the kind "eventuality + signal + temporal relation". The tagger reports an accuracy rate of 90.8%, outperforming the baseline (81.8%). One of the main results of this work is represented by the identification of a set of robust features which may be automatically obtained with a relative computational effort.