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CSL
2011
Springer

Hybrid user intention modeling to diversify dialog simulations

8 years 5 months ago
Hybrid user intention modeling to diversify dialog simulations
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 selfdirecting, 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. © 2010 Elsevier Ltd. All rights reserved.
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Donghy
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CSL
Authors Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Donghyeon Lee, Gary Geunbae Lee
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