NDLI: Automatic dialogue acts classification in Slovak dialogues

Content Provider	IEEE Xplore Digital Library
Author	Pleva, M. Ondas, S. Juhar, J.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Multimedia Commun., Tech. Univ. of Kosice, Kosice, Slovakia (Pleva, M.; Ondas, S.; Juhar, J.)
Abstract	Dialogue acts classification plays an important role in advanced dialogue management systems. They represent intention of the dialogue participant in the particular part of the dialogue interaction. Dialogue act classification lies in the classification of the spoken utterances according to their discourse function. It relies mainly on the classical machine learning techniques similar as in case of natural language processing (NLP) tasks. The HMM-based approach was applied to perform DA classification of utterances in Slovak language. Episodes of the Slovak TV talk show were used for creating of dialogue corpus with DA labels. New simplified annotation schema was designed and used for labeling the corpus with 12 DA classes. Bigram models of DA classes and dialogue grammar were trained on training part of the corpus. Decoding of testing utterances was done by comparing probabilities of occurrence and perplexity over trained bigrams. Obtained results are comparable with similar techniques and data sets.
Starting Page	295
Ending Page	298
File Size	213434
Page Count	4
File Format	PDF
ISBN	9781479981175
e-ISBN	9781479981199
DOI	10.1109/RADIOELEK.2015.7129037
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-21
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training dialogue mnagement Hidden Markov models Speech Natural language processing Grammar Decoding classification dialogue acts Testing
Content Type	Text
Resource Type	Article

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