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Korean Speech Act Tagging using Previous Sentence Features and Following Candidate Speech Acts  

Kim, Se-Jong (포항공과대학교 컴퓨터공학과)
Lee, Yong-Hun (포항공과대학교 컴퓨터공학과)
Lee, Jong-Hyeok (포항공과대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.35, no.6, 2008 , pp. 374-385 More about this Journal
Abstract
Speech act tagging is an important step in various dialogue applications, which recognizes speaker's intentions expressed in natural language utterances. Previous approaches such as rule-based and statistics-based methods utilize the speech acts of previous utterances and sentence features of the current utterance. This paper proposes a method that determines speech acts of the current utterance using the speech acts of the following utterances as well as previous ones. Using the features of following utterances yields the accuracy 95.27%, improving previous methods by 3.65%. Moreover, sentence features of the previous utterances are employed to maximally utilize the information available to the current utterance. By applying the proper probability model for each speech act, final accuracy of 97.97% is achieved.
Keywords
Speech Act Tagging; Candidate Speech Act; Sentence Feature; CHI Statistics; SVM;
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Times Cited By KSCI : 1  (Citation Analysis)
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