Automatic dialogue act recognition with syntactic features
Identifieur interne : 000E47 ( Main/Exploration ); précédent : 000E46; suivant : 000E48Automatic dialogue act recognition with syntactic features
Auteurs : Pavel Kral [République tchèque] ; Christophe Cerisara [France]Source :
- Language resources and evaluation [ 1574-020X ] ; 2014.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
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.
Url:
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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