TY  - JOUR
T1  - A Linguistic Study of Speech Act and Automatic Speech Act Classification for Korean Tutorial Dialog
AU  - Koo, Youngeun 
AU  - Kim, Jiyoun 
AU  - Hong, Munpyo 
AU  - Kim, Youngkil 
JO  - Journal of KIISE, JOK
PY  - 2018
DA  - 2018/1/14
DO  - 10.5626/JOK.2018.45.8.807
KW  - Speech act
KW  - Automatic speech act classification
KW  - Linguistic feature
KW  - Machine learning
AB  - Speech act is a speaker’s intention of utterance in communication. To communicate successfully, we need to figure out speech act of a speaker’s utterance correctly. This paper proposed linguistic features of an utterance that affect speech act classification by analyzing Korean tutorial dialogue. Ultimately we hope this enables automatic speech act classification. Thirteen linguistically motivated features are suggested in this paper and verified with WEKA 3.8.1. The accuracy of the proposed linguistically motivated features of speech act classification reached 70.03%. Approximately 30%p of accuracy has improved compared to a baseline, using unigram and bigram as the only features of speech act classification.