{"title":"走向观点总结:链接来源","authors":"Veselin Stoyanov, Claire Cardie","doi":"10.3115/1654641.1654643","DOIUrl":null,"url":null,"abstract":"We target the problem of linking source mentions that belong to the same entity (source coreference resolution), which is needed for creating opinion summaries. In this paper we describe how source coreference resolution can be transformed into standard noun phrase coreference resolution, apply a state-of-the-art coreference resolution approach to the transformed data, and evaluate on an available corpus of manually annotated opinions.","PeriodicalId":130570,"journal":{"name":"Proceedings of the Workshop on Sentiment and Subjectivity in Text - SST '06","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"57","resultStr":"{\"title\":\"Toward Opinion Summarization: Linking the Sources\",\"authors\":\"Veselin Stoyanov, Claire Cardie\",\"doi\":\"10.3115/1654641.1654643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We target the problem of linking source mentions that belong to the same entity (source coreference resolution), which is needed for creating opinion summaries. In this paper we describe how source coreference resolution can be transformed into standard noun phrase coreference resolution, apply a state-of-the-art coreference resolution approach to the transformed data, and evaluate on an available corpus of manually annotated opinions.\",\"PeriodicalId\":130570,\"journal\":{\"name\":\"Proceedings of the Workshop on Sentiment and Subjectivity in Text - SST '06\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"57\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop on Sentiment and Subjectivity in Text - SST '06\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1654641.1654643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Workshop on Sentiment and Subjectivity in Text - SST '06","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1654641.1654643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We target the problem of linking source mentions that belong to the same entity (source coreference resolution), which is needed for creating opinion summaries. In this paper we describe how source coreference resolution can be transformed into standard noun phrase coreference resolution, apply a state-of-the-art coreference resolution approach to the transformed data, and evaluate on an available corpus of manually annotated opinions.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
