Evandro Brasil da Fonseca, Vinicius Sesti, André Antonitsch, A. A. Vanin, Renata Vieira
{"title":"CORP:一种基于规则和语义知识的关联引用解析方法","authors":"Evandro Brasil da Fonseca, Vinicius Sesti, André Antonitsch, A. A. Vanin, Renata Vieira","doi":"10.21814/lm.9.1.241","DOIUrl":null,"url":null,"abstract":"In this paper we propose the use of lexical, syntactic and semantic knowledge for coreference resolution. We conducted several experiments involving different heuristics. As a result of this study, we generated a practical system that solves coreference in Portuguese texts. In addition, it was possible to increase our recall through semantic knowledge provided by Onto.PT.","PeriodicalId":41819,"journal":{"name":"Linguamatica","volume":"9 1","pages":"3-18"},"PeriodicalIF":0.3000,"publicationDate":"2017-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"CORP: Uma Abordagem Baseada em Regras e Conhecimento Semântico para a Resolução de Correferências\",\"authors\":\"Evandro Brasil da Fonseca, Vinicius Sesti, André Antonitsch, A. A. Vanin, Renata Vieira\",\"doi\":\"10.21814/lm.9.1.241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose the use of lexical, syntactic and semantic knowledge for coreference resolution. We conducted several experiments involving different heuristics. As a result of this study, we generated a practical system that solves coreference in Portuguese texts. In addition, it was possible to increase our recall through semantic knowledge provided by Onto.PT.\",\"PeriodicalId\":41819,\"journal\":{\"name\":\"Linguamatica\",\"volume\":\"9 1\",\"pages\":\"3-18\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2017-01-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Linguamatica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21814/lm.9.1.241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linguamatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21814/lm.9.1.241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"LINGUISTICS","Score":null,"Total":0}
CORP: Uma Abordagem Baseada em Regras e Conhecimento Semântico para a Resolução de Correferências
In this paper we propose the use of lexical, syntactic and semantic knowledge for coreference resolution. We conducted several experiments involving different heuristics. As a result of this study, we generated a practical system that solves coreference in Portuguese texts. In addition, it was possible to increase our recall through semantic knowledge provided by Onto.PT.