{"title":"EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining","authors":"Ning Li, Chi-Yin Chow, Jiadong Zhang","doi":"10.1007/978-3-030-47436-2_61","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"173 1","pages":"811 - 823"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-47436-2_61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4