Automatic dialogue act recognition with syntactic features
Pavel Král
and
Christophe Cerisara
Language Resources and Evaluation (2014)
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Research topics
Semantic analysis |
Language modeling
Abstract
This work studies the usefulness of syntactic information
in the context of automatic dialogue act recognition
in Czech. In contrast to earlier papers that conclude negatively on this question,
several pieces of evidence are presented in this work
that support our claim that syntax does actually 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.