Title: A comparison of language models for dialog act segmentation of meeting transcripts
Authors: Kolář, Jáchym
Citation: KOLÁŘ, 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.
Issue Date: 2008
Publisher: Springer
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/JachymKolar_2008_AComparisonof
ISBN: 978-3-540-87390-7
Keywords: modelování;reprezentace textové informace;BoosTexter;maximální entropie;referenční přepisy
Keywords in different language: modelling;representation text information;BoosTexter;maximum entropy;reference transcripts
Abstract in different language: This 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.
Rights: © Jáchym Kolář
Appears in Collections:Články / Articles (KKY)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/17176

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