Please use this identifier to cite or link to this item: doi:10.22028/D291-25311
Title: Dialog act classification with the help of prosody
Author(s): Mast, Marion
Kompe, Ralf
Harbeck, Stefan
Kießling, Andreas
Niemann, Heinrich
Nöth, Elmar
Language: English
Year of Publication: 1996
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: This paper presents automatic methods for the segmentation and classication of dialog acts (DA). In Verbmobil it is often sufficient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive DAs we conduct the classification of DAs in a two step procedure: First each turn has to be segmented into units which correspond to a DA and second the DA categories have to be identified. For the segmentation we use polygrams and multi -layer perceptrons, using prosodic features. The classification of DAs is done with semantic classication trees and polygrams.
Link to this record: urn:nbn:de:bsz:291-scidok-53237
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 130
Date of registration: 13-Jun-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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