S. McRoy, Syed S. Ali, Angelo C. Restificar, S. Channarukul
{"title":"构建智能对话系统","authors":"S. McRoy, Syed S. Ali, Angelo C. Restificar, S. Channarukul","doi":"10.1145/298475.298484","DOIUrl":null,"url":null,"abstract":"We overview our recent work in specifying and building intelligent dialog systems that collaborate with users for a task. As part of this work we have specied and built systems for: giving medical students an opportunity to practice their decision making skills in English (B2); performing template-based natural language generation (YAG); detecting and rebutting arguments (ARGUER); recognizing and repairing misunderstandings (RRM); and assessing and augmenting patients’ health knowledge (PEAS). All of these systems make use of rich models of dialog for human-computer communication.","PeriodicalId":8272,"journal":{"name":"Appl. Intell.","volume":"8 1","pages":"14-23"},"PeriodicalIF":0.0000,"publicationDate":"1999-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Building intelligent dialog systems\",\"authors\":\"S. McRoy, Syed S. Ali, Angelo C. Restificar, S. Channarukul\",\"doi\":\"10.1145/298475.298484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We overview our recent work in specifying and building intelligent dialog systems that collaborate with users for a task. As part of this work we have specied and built systems for: giving medical students an opportunity to practice their decision making skills in English (B2); performing template-based natural language generation (YAG); detecting and rebutting arguments (ARGUER); recognizing and repairing misunderstandings (RRM); and assessing and augmenting patients’ health knowledge (PEAS). All of these systems make use of rich models of dialog for human-computer communication.\",\"PeriodicalId\":8272,\"journal\":{\"name\":\"Appl. Intell.\",\"volume\":\"8 1\",\"pages\":\"14-23\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Appl. Intell.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/298475.298484\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Appl. Intell.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/298475.298484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We overview our recent work in specifying and building intelligent dialog systems that collaborate with users for a task. As part of this work we have specied and built systems for: giving medical students an opportunity to practice their decision making skills in English (B2); performing template-based natural language generation (YAG); detecting and rebutting arguments (ARGUER); recognizing and repairing misunderstandings (RRM); and assessing and augmenting patients’ health knowledge (PEAS). All of these systems make use of rich models of dialog for human-computer communication.
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