{"title":"Persistent Information State in a Data-Centric Architecture","authors":"S. Varges, G. Riccardi, S. Quarteroni","doi":"10.3115/1622064.1622076","DOIUrl":null,"url":null,"abstract":"We present the ADAMACH data centric dialog system, that allows to perform on- and off-line mining of dialog context, speech recognition results and other system-generated representations, both within and across dialogs. The architecture implements a \"fat pipeline\" for speech and language processing. We detail how the approach integrates domain knowledge and evolving empirical data, based on a user study in the University Helpdesk domain.","PeriodicalId":426429,"journal":{"name":"SIGDIAL Workshop","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGDIAL Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1622064.1622076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
We present the ADAMACH data centric dialog system, that allows to perform on- and off-line mining of dialog context, speech recognition results and other system-generated representations, both within and across dialogs. The architecture implements a "fat pipeline" for speech and language processing. We detail how the approach integrates domain knowledge and evolving empirical data, based on a user study in the University Helpdesk domain.
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