{"title":"在医学领域可以脱皮治疗œdipe的复合体吗?","authors":"M. Embarek, Olivier Ferret","doi":"10.5555/1937055.1937060","DOIUrl":null,"url":null,"abstract":"In this article, we present Esculape, a question-answering system for French dedicated to family doctors and built from œdipe, an open-domain system. Esculape adds to œdipe the capability to exploit the concepts and relations of a domain model, the medical domain in the present case. Although a large number of resources exist in this domain (UMLS, MeSH ...), it is not possible to rely only on them, and more specifically on the relations they contain, to answer questions. We show how this difficulty can be overcome by learning linguistic patterns for identifying relations and applying them to extract answers.","PeriodicalId":120472,"journal":{"name":"RIAO Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Can Esculape cure the complex of œdipe in the medical domain?\",\"authors\":\"M. Embarek, Olivier Ferret\",\"doi\":\"10.5555/1937055.1937060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we present Esculape, a question-answering system for French dedicated to family doctors and built from œdipe, an open-domain system. Esculape adds to œdipe the capability to exploit the concepts and relations of a domain model, the medical domain in the present case. Although a large number of resources exist in this domain (UMLS, MeSH ...), it is not possible to rely only on them, and more specifically on the relations they contain, to answer questions. We show how this difficulty can be overcome by learning linguistic patterns for identifying relations and applying them to extract answers.\",\"PeriodicalId\":120472,\"journal\":{\"name\":\"RIAO Conference\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RIAO Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/1937055.1937060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RIAO Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/1937055.1937060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Can Esculape cure the complex of œdipe in the medical domain?
In this article, we present Esculape, a question-answering system for French dedicated to family doctors and built from œdipe, an open-domain system. Esculape adds to œdipe the capability to exploit the concepts and relations of a domain model, the medical domain in the present case. Although a large number of resources exist in this domain (UMLS, MeSH ...), it is not possible to rely only on them, and more specifically on the relations they contain, to answer questions. We show how this difficulty can be overcome by learning linguistic patterns for identifying relations and applying them to extract answers.