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in 2008 IEEE/ACL Workshop on Spoken Language Technology

dc.contributor.authorLeonardo Badinoen
dc.contributor.authorClark, Robert A Jen
dc.date.accessioned2010-10-04T14:50:45Z
dc.date.available2010-10-04T14:50:45Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/1842/3825
dc.description.abstractThis paper addresses the problem of automatically labeling contrast in spontaneous spoken speech, where contrast here is meant as a relation that ties two words that explicitly contrast with each other. Detection of contrast is certainly relevant in the analysis of discourse and information structure and also, because of the prosodic correlates of contrast, could play an important role in speech applications, such as text-to-speech synthesis, that need an accurate and discourse context related modeling of prosody. With this prospect we investigate the feasibility of automatic contrast labeling by training and evaluating on the Switchboard corpus a novel contrast tagger, based on Support Vector Machines (SVM), that combines lexical features, syntactic dependencies and WordNet semantic relations.en
dc.titleAutomatic labeling of contrastive word pairs from spontaneous spoken Englishen
dc.typeConference Paperen
rps.titlein 2008 IEEE/ACL Workshop on Spoken Language Technologyen
dc.date.updated2010-10-04T14:50:46Z
dc.date.openingDate2008


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