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Comparing user simulations for dialogue strategy learning

Ai, H and Litman, D (2011) Comparing user simulations for dialogue strategy learning. ACM Transactions on Speech and Language Processing, 7 (3). ISSN 1550-4875

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Recent studies show that user simulations can be used to generate training corpora for learning dialogue strategies automatically. However, it is unclear what type of simulation is most suitable in a particular task setting. We observe that a simulation which generates random behaviors in a restricted way outperforms simulations that mimic human user behaviors in a statistical way. Our finding suggests that we do not always need to construct a realistic user simulation. Since constructing realistic user simulations is not a trivial task, we can save engineering cost by wisely choosing simulation models that are appropriate for our task. © 2011 ACM.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Ai, H
Litman, Ddlitman@pitt.eduDLITMAN
Centers: Other Centers, Institutes, Offices, or Units > Learning Research & Development Center
Date: 1 May 2011
Date Type: Publication
Journal or Publication Title: ACM Transactions on Speech and Language Processing
Volume: 7
Number: 3
DOI or Unique Handle: 10.1145/1966407.1966414
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
ISSN: 1550-4875
Date Deposited: 30 Jul 2014 20:31
Last Modified: 02 Feb 2019 15:59


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