Automatic dialogue act recognition with syntactic features

This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel i...

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Bibliographic Details
Published in:Language Resources and Evaluation 2014-09, Vol.48 (3), p.419-441
Main Authors: Král, Pavel, Cerisara, Christophe
Format: Article
Language:English
Subjects:
Applied linguistics
Automatic speech recognition
Automation
Computation and Language
Computational Linguistics
Computer pattern recognition
Computer Science
Czech language
Dictionaries. Lexicography
Feature recognition
Fields (mathematics)
Formal languages and grammars
Interpersonal communication
Language acquisition
Language and Literature
Linguistics
Mathematics and linguistics
Original Paper
Pronouns
Punctuation
Quantitative studies
Recognition
Social Sciences
Syntactic features
Syntactic models
Syntactics
Syntax
Transcription
Trees
Verbs
Words
Work study
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Summary:This work studies the usefulness of syntactic information in the context of automatic dialogue act recognition in Czech. Several pieces of evidence are presented in this work that support our claim that syntax might bring valuable information for dialogue act recognition. In particular, a parallel is drawn with the related domain of automatic punctuation generation and a set of syntactic features derived from a deep parse tree is further proposed and successfully used in a Czech dialogue act recognition system based on conditional random fields. We finally discuss the possible reasons why so few works have exploited this type of information before and propose future research directions to further progress in this area.
ISSN:1574-020X
1572-8412
1574-0218
DOI:10.1007/s10579-014-9263-6