Hierarchical speech-act classification for discourse analysis

作者：Kang Sangwoo; Ko Youngjoong^*; Seo Jungyun

来源：Pattern Recognition Letters, 2013, 34(10): 1119-1124.

DOI：10.1016/j.patrec.2013.03.008

• Natural language processing
• Discourse analysis
• Speech act classification
• Hierarchical structure
• Dialogue system

The analysis of a speech act is important for dialogue understanding systems because the speech act of an utterance is closely associated with the user%26apos;s intention in the utterance. This paper proposes a speech act classification model that effectively uses a two-layer hierarchical structure generated from the adjacency pair information of speech acts. The proposed model has two advantages when adding hierarchical information to speech act classification; the improved accuracy of the speech act classification and the reduced running time in the testing phase. As a result, it achieves higher performance than other models that do not use the hierarchical structure and has faster running time because Support Vector Machine classifiers can efficiently be arranged on the two-layer hierarchical structure.

• 出版日期2013-7-15