Paper: Using Syntactic and Semantic based Relations for Dialogue Act Recognition

ACL ID C10-2065
Title Using Syntactic and Semantic based Relations for Dialogue Act Recognition
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

This paper presents a novel approach to dialogue act recognition employing multi- level information features. In addition to features such as context information and words in the utterances, the recognition task utilizes syntactic and semantic rela- tions acquired by information extraction methods. These features are utilized by a Bayesian network classifier for our dia- logue act recognition. The evaluation re- sults 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.