{"title":"面向任务的对话系统中的对话管理","authors":"P. Blache","doi":"10.1145/3139491.3139507","DOIUrl":null,"url":null,"abstract":"This paper presents a new framework for implementing a dialogue manager, making it possible to infer new information in the course of the interaction as well as generating responses from the virtual agent. The approach relies on a specific organization of knowledge bases, including the creation of a common ground and a belief base. Moreover, the same type of rules implement both inference and control of the dialogue. This approach is implemented within a dialogue system for training doctors to break bad news (ACORFORMed).","PeriodicalId":121205,"journal":{"name":"Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Dialogue management in task-oriented dialogue systems\",\"authors\":\"P. Blache\",\"doi\":\"10.1145/3139491.3139507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new framework for implementing a dialogue manager, making it possible to infer new information in the course of the interaction as well as generating responses from the virtual agent. The approach relies on a specific organization of knowledge bases, including the creation of a common ground and a belief base. Moreover, the same type of rules implement both inference and control of the dialogue. This approach is implemented within a dialogue system for training doctors to break bad news (ACORFORMed).\",\"PeriodicalId\":121205,\"journal\":{\"name\":\"Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3139491.3139507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3139491.3139507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dialogue management in task-oriented dialogue systems
This paper presents a new framework for implementing a dialogue manager, making it possible to infer new information in the course of the interaction as well as generating responses from the virtual agent. The approach relies on a specific organization of knowledge bases, including the creation of a common ground and a belief base. Moreover, the same type of rules implement both inference and control of the dialogue. This approach is implemented within a dialogue system for training doctors to break bad news (ACORFORMed).