{"title":"人机对话的语言模型:可逆语义语法","authors":"Jérôme Lehuen, Thierry Lemeunier","doi":"10.5220/0003017200170026","DOIUrl":null,"url":null,"abstract":"In this paper we present algorithms for analysis and generation in a human-machine dialog context. The originality of our approach is to base these two algorithms on the same knowledge. The latter combines both semantic and syntactic aspects. The algorithms are based on a double principle: the correspondence between offers and expectations, and the calculation of a heuristic score. We present also some results obtained by performing an evaluation based on the MEDIA French corpus.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Language Model for Human-machine Dialog: The Reversible Semantic Grammar\",\"authors\":\"Jérôme Lehuen, Thierry Lemeunier\",\"doi\":\"10.5220/0003017200170026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present algorithms for analysis and generation in a human-machine dialog context. The originality of our approach is to base these two algorithms on the same knowledge. The latter combines both semantic and syntactic aspects. The algorithms are based on a double principle: the correspondence between offers and expectations, and the calculation of a heuristic score. We present also some results obtained by performing an evaluation based on the MEDIA French corpus.\",\"PeriodicalId\":378427,\"journal\":{\"name\":\"International Workshop on Natural Language Processing and Cognitive Science\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Natural Language Processing and Cognitive Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0003017200170026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Natural Language Processing and Cognitive Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0003017200170026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Language Model for Human-machine Dialog: The Reversible Semantic Grammar
In this paper we present algorithms for analysis and generation in a human-machine dialog context. The originality of our approach is to base these two algorithms on the same knowledge. The latter combines both semantic and syntactic aspects. The algorithms are based on a double principle: the correspondence between offers and expectations, and the calculation of a heuristic score. We present also some results obtained by performing an evaluation based on the MEDIA French corpus.
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