Title :
Distance-based dialog acts labeling
Author :
Stanislav Ond??;Jozef Juh?r
Author_Institution :
Department of Electronics and Multimedia Communications, FEI, Technical University of Kosice Kosice, Slovakia
Abstract :
The capability to recognize a communication function (dialogue act) of the particular utterance spoken by the speaker in the dialogue interaction, is one of the important ability of human participants in dialogue interactions. Automatic dialog act recognition can make human-computer dialogue interaction more natural and effective. Dialogue act recognition is a language-dependent technology and resources in desired language are required in form of a corpus, where each utterance is labeled by one of the dialog acts. Approaches based on statistical modeling are usually applied to classify dialogue acts. In the paper, simple distance-based approach is introduced and results of evaluation experiments on newly-prepared corpus in Slovak language are presented.
Keywords :
"Labeling","Computational modeling","Training","Hidden Markov models","MATLAB","Euclidean distance","Pattern matching"
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
DOI :
10.1109/CogInfoCom.2015.7390572