Publication
Using Syntactic and Semantic based Relations for Dialogue Act Recognition
Tina Klüwer; Hans Uszkoreit; Feiyu Xu
In: Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Poster Session. International Conference on Computational Linguistics (COLING-2010), 23rd, August 23-27, Beijing, China, 2010.
Abstract
This paper presents a novel approach to
dialogue act recognition employing multilevel
information features. In addition to
features such as context information and
words in the utterances, the recognition
task utilizes syntactic and semantic relations
acquired by information extraction
methods. These features are utilized by
a Bayesian network classifier for our dialogue
act recognition. The evaluation results
show a clear improvement from the
accuracy of the baseline (only with word
features) with 61.9% to an accuracy of
67.4% achieved by the extended feature
set.