Asian Language Processing, International Conference on (2009)
Dec. 7, 2009 to Dec. 9, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IALP.2009.12
Automatic recognition of Dialog-act (DA) is one of the most important processes in understanding spontaneous dialog. Most existing studies have been working on how to use various classifying methods in DA recognition; meanwhile, less attention has been paid to feature selection specifically. This paper introduces several textual features for DA recognizing, and proposes a novel usage for sentence structure features. Especially, this paper investigates the effect of discourse structure features in DA recognition, which are little studied before. The experimental results on both Chinese corpus and English Corpus show the selected features and feature combination rules significantly improve the overall performance. The accuracy of DA recognition rises from 77.05% to 88.21% on Chinese corpus, and from 59.08% to 64.92% as well on English corpus.
dialog-act recognition, feature selection, feature combination, sentence structure features, discourse structure features
Keyan Zhou, Chengqing Zong, "Dialog-Act Recognition Using Discourse and Sentence Structure Information", Asian Language Processing, International Conference on, vol. 00, no. , pp. 11-16, 2009, doi:10.1109/IALP.2009.12