{"title":"生物医学文本中命名实体识别的上下文信息","authors":"R. Goulart, Vera Lúcia Strube de Lima","doi":"10.1109/STIL.2009.28","DOIUrl":null,"url":null,"abstract":"This article presents a study on Named Entities (NE) recognition using contextual information present on a Biomedical corpus. Related work indicates that the use of context (words surrounding a word) can assist the NE recognition. This work presents experimental results to evaluate the impact of different context settings, using machine learning, for the NE recognition.","PeriodicalId":265848,"journal":{"name":"2009 Seventh Brazilian Symposium in Information and Human Language Technology","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contextual Information for Named Entity Recognition in Biomedical Texts\",\"authors\":\"R. Goulart, Vera Lúcia Strube de Lima\",\"doi\":\"10.1109/STIL.2009.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a study on Named Entities (NE) recognition using contextual information present on a Biomedical corpus. Related work indicates that the use of context (words surrounding a word) can assist the NE recognition. This work presents experimental results to evaluate the impact of different context settings, using machine learning, for the NE recognition.\",\"PeriodicalId\":265848,\"journal\":{\"name\":\"2009 Seventh Brazilian Symposium in Information and Human Language Technology\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Seventh Brazilian Symposium in Information and Human Language Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STIL.2009.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh Brazilian Symposium in Information and Human Language Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STIL.2009.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contextual Information for Named Entity Recognition in Biomedical Texts
This article presents a study on Named Entities (NE) recognition using contextual information present on a Biomedical corpus. Related work indicates that the use of context (words surrounding a word) can assist the NE recognition. This work presents experimental results to evaluate the impact of different context settings, using machine learning, for the NE recognition.