{"title":"用于支持语音的移动商务的混合对话策略","authors":"Yandong Fan","doi":"10.1504/IJEB.2009.024626","DOIUrl":null,"url":null,"abstract":"Designing a dialogue strategy for speech-enabled mobile commerce is a significant challenge due to the context. This paper introduces a hybrid dialogue strategy to overcome the inflexibility of application-directed interactions while avoiding the significant recognition difficulty of a full mixed-initiative style. The system uses N-gram grammars to govern the recognition at the request segment of a dialogue, and employs an application-directed strategy at the clarification discourse segment. The paper also details generating a corpus for the N-gram grammar through a case-based reasoning approach, and constructing application-directed dialogues with decision trees. Our preliminary testing indicates the strategy is a feasible and effective solution for voice-enabling mobile commerce applications","PeriodicalId":118472,"journal":{"name":"IEEE International Conference on e-Business Engineering (ICEBE'05)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A hybrid dialogue strategy for speech-enabled mobile commerce\",\"authors\":\"Yandong Fan\",\"doi\":\"10.1504/IJEB.2009.024626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Designing a dialogue strategy for speech-enabled mobile commerce is a significant challenge due to the context. This paper introduces a hybrid dialogue strategy to overcome the inflexibility of application-directed interactions while avoiding the significant recognition difficulty of a full mixed-initiative style. The system uses N-gram grammars to govern the recognition at the request segment of a dialogue, and employs an application-directed strategy at the clarification discourse segment. The paper also details generating a corpus for the N-gram grammar through a case-based reasoning approach, and constructing application-directed dialogues with decision trees. Our preliminary testing indicates the strategy is a feasible and effective solution for voice-enabling mobile commerce applications\",\"PeriodicalId\":118472,\"journal\":{\"name\":\"IEEE International Conference on e-Business Engineering (ICEBE'05)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on e-Business Engineering (ICEBE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJEB.2009.024626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on e-Business Engineering (ICEBE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJEB.2009.024626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid dialogue strategy for speech-enabled mobile commerce
Designing a dialogue strategy for speech-enabled mobile commerce is a significant challenge due to the context. This paper introduces a hybrid dialogue strategy to overcome the inflexibility of application-directed interactions while avoiding the significant recognition difficulty of a full mixed-initiative style. The system uses N-gram grammars to govern the recognition at the request segment of a dialogue, and employs an application-directed strategy at the clarification discourse segment. The paper also details generating a corpus for the N-gram grammar through a case-based reasoning approach, and constructing application-directed dialogues with decision trees. Our preliminary testing indicates the strategy is a feasible and effective solution for voice-enabling mobile commerce applications