{"title":"基于知识的教程系统中的解释与生成","authors":"M. Dzikovska, Charles B. Callaway, Elaine Farrow","doi":"10.3115/1641493.1641496","DOIUrl":null,"url":null,"abstract":"We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.","PeriodicalId":398636,"journal":{"name":"Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing - KRAQ '06","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Interpretation and Generation in a Knowledge-Based TutorialSystem\",\"authors\":\"M. Dzikovska, Charles B. Callaway, Elaine Farrow\",\"doi\":\"10.3115/1641493.1641496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.\",\"PeriodicalId\":398636,\"journal\":{\"name\":\"Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing - KRAQ '06\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing - KRAQ '06\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1641493.1641496\",\"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 Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing - KRAQ '06","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1641493.1641496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interpretation and Generation in a Knowledge-Based TutorialSystem
We discuss how deep interpretation and generation can be integrated with a knowledge representation designed for question answering to build a tutorial dialogue system. We use a knowledge representation known to perform well in answering exam-type questions and show that to support tutorial dialogue it needs additional features, in particular, compositional representations for interpretation and structured explanation representations.