A comparison of language models for dialog act segmentation of meeting transcripts

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dc.contributor.authorKolář, Jáchym
dc.date.accessioned2016-01-08T07:24:34Z
dc.date.available2016-01-08T07:24:34Z
dc.date.issued2008
dc.description.abstract-translatedThis paper compares languagemodeling techniques for dialog act segmentation of multiparty meetings. The evaluation is twofold; we search for a convenient representation of textual information and an efficient modeling approach. The textual features capture word identities, parts-of-speech, and automatically induced classes. The models under examination include hidden event language models, maximum entropy, and BoosTexter. All presented methods are tested using both human-generated reference transcripts and automatic transcripts obtained from a state-of-the-art speech recognizer.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationKOLÁŘ, Jáchym. A comparison of language models for dialog act segmentation of meeting transcripts. In: Text, speech and dialogue. Berlin: Springer, 2008, p. 117-124. (Lectures notes in computer science; 5246). ISBN 978-3-540-87390-7.en
dc.identifier.isbn978-3-540-87390-7
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/JachymKolar_2008_AComparisonof
dc.identifier.urihttp://hdl.handle.net/11025/17176
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLecture notes in computer science; 5246en
dc.rights© Jáchym Kolářcs
dc.rights.accessopenAccessen
dc.subjectmodelovánícs
dc.subjectreprezentace textové informacecs
dc.subjectBoosTextercs
dc.subjectmaximální entropiecs
dc.subjectreferenční přepisycs
dc.subject.translatedmodellingen
dc.subject.translatedrepresentation text informationen
dc.subject.translatedBoosTexteren
dc.subject.translatedmaximum entropyen
dc.subject.translatedreference transcriptsen
dc.titleA comparison of language models for dialog act segmentation of meeting transcriptsen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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