Hybrid user intention modeling to diversify dialog simulations
SCIE
SCOPUS
- Title
- Hybrid user intention modeling to diversify dialog simulations
- Authors
- Sangkeun Jung; Cheongjai Lee; Kyungduk Kim; Lee, D; Lee, GG
- Date Issued
- 2011-04
- Publisher
- ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
- Abstract
- This paper proposes a novel user intention simulation method which is data-driven but can integrate diverse user discourse knowledge to simulate various types of user behaviors. A method of data-driven user intention modeling based on logistic regression is introduced in the Markov logic framework. Human dialog knowledge is designed into two layers, domain and discourse knowledge, and integrated with the data-driven model in generation time. Three types of user knowledge, i.e., cooperative, corrective and self-directing, are designed and integrated to generate behaviors of corresponding user-types. In experiments to investigate the patterns of simulated users, the approach successfully generated cooperative, corrective and self-directing user intention patterns. (C) 2010 Elsevier Ltd. All rights reserved.
- Keywords
- User simulation; Dialog simulation; User intention simulation; Data-driven; Hybrid approach; Markov logic; Spoken dialog system; Dialog system; SYSTEMS; STRATEGIES
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/25200
- DOI
- 10.1016/J.CSL.2010.06.002
- ISSN
- 0885-2308
- Article Type
- Article
- Citation
- COMPUTER SPEECH AND LANGUAGE, vol. 25, no. 2, page. 307 - 326, 2011-04
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