{"title":"PartsID:基于对话的医疗系统部件识别系统","authors":"Amit Bagga, T. Strzalkowski, G. B. Wise","doi":"10.3115/974147.974152","DOIUrl":null,"url":null,"abstract":"This paper describes a system that provides customer service by allowing users to retrieve identification numbers of parts for medical systems using spoken natural language dialogue. The paper also presents an evaluation of the system which shows that the system successfully retrieves the identification numbers of approximately 80% of the parts.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"PartsID: A Dialogue-Based System for Identifying Parts for Medical Systems\",\"authors\":\"Amit Bagga, T. Strzalkowski, G. B. Wise\",\"doi\":\"10.3115/974147.974152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a system that provides customer service by allowing users to retrieve identification numbers of parts for medical systems using spoken natural language dialogue. The paper also presents an evaluation of the system which shows that the system successfully retrieves the identification numbers of approximately 80% of the parts.\",\"PeriodicalId\":103133,\"journal\":{\"name\":\"Applied Natural Language Processing Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Natural Language Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/974147.974152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Natural Language Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/974147.974152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PartsID: A Dialogue-Based System for Identifying Parts for Medical Systems
This paper describes a system that provides customer service by allowing users to retrieve identification numbers of parts for medical systems using spoken natural language dialogue. The paper also presents an evaluation of the system which shows that the system successfully retrieves the identification numbers of approximately 80% of the parts.
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