{"title":"基于灵活言语行为的对话管理","authors":"E. Hagen, F. Popowich","doi":"10.3115/1117736.1117751","DOIUrl":null,"url":null,"abstract":"We present an application independent dialogue engine that reasons on application dependent knowledge sources to calculate predictions about how a dialogue might continue. Predictions are language independent and are translated into language dependent structures for recognition and synthesis. Further, we discuss how the predictions account for different kinds of dialogue, e.g., question-answer or mixed initiative.","PeriodicalId":426429,"journal":{"name":"SIGDIAL Workshop","volume":"60 27","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Flexible Speech Act Based Dialogue Management\",\"authors\":\"E. Hagen, F. Popowich\",\"doi\":\"10.3115/1117736.1117751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an application independent dialogue engine that reasons on application dependent knowledge sources to calculate predictions about how a dialogue might continue. Predictions are language independent and are translated into language dependent structures for recognition and synthesis. Further, we discuss how the predictions account for different kinds of dialogue, e.g., question-answer or mixed initiative.\",\"PeriodicalId\":426429,\"journal\":{\"name\":\"SIGDIAL Workshop\",\"volume\":\"60 27\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGDIAL Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1117736.1117751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGDIAL Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1117736.1117751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an application independent dialogue engine that reasons on application dependent knowledge sources to calculate predictions about how a dialogue might continue. Predictions are language independent and are translated into language dependent structures for recognition and synthesis. Further, we discuss how the predictions account for different kinds of dialogue, e.g., question-answer or mixed initiative.