JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues |
| 영문제목(English Title) |
An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues |
| 저자(Author) |
Hyunjung Lee
Harksoo Kim
Jungyun Seo
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| 원문수록처(Citation) |
VOL 09 NO. 02 PP. 0259 ~ 0270 (2013. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A speaker’s intentions can be represented by domain actions (domain-independent speech act and domain-dependent concept sequence pairs). Therefore, it is essential that domain actions be determined when implementing dialogue systems because a dialogue system should determine users’intentions from their utterances and should create counterpart intentions to the users’ intentions. In this paper, a neural network model is proposed for classifying a user’s domain actions and planning a system’s domain actions. An integrated neural network model is proposed for simultaneously determining user and system domain actions using the same framework. The proposed model performed better than previous non-integrated models in an experiment using a goal-oriented dialogue corpus. This result shows that the proposed integration method contributes to improving domain action determination performance.
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| 키워드(Keyword) |
Domain Action
Speech Act
Concept Sequence
Neural Network
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| 파일첨부 |
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