Conference
Policy committee for adaptation in multi-domain spoken dialogue systems
العنوان: | Policy committee for adaptation in multi-domain spoken dialogue systems |
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المؤلفون: | Gasic, M, Mrksic, N, Su, PH, Vandyke, D, Wen, TH, Young, S |
بيانات النشر: | IEEE //doi.org/10.1109/asru.2015.7404871 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings |
سنة النشر: | 2015 |
المجموعة: | Apollo - University of Cambridge Repository |
مصطلحات موضوعية: | Bayesian committee machines, Gaussian processes, reinforcement learning |
الوصف: | Moving from limited-domain dialogue systems to open domain dialogue systems raises a number of challenges. One of them is the ability of the system to utilise small amounts of data from disparate domains to build a dialogue manager policy. Previous work has focused on using data from different domains to adapt a generic policy to a specific domain. Inspired by Bayesian committee machines, this paper proposes the use of a committee of dialogue policies. The results show that such a model is particularly beneficial for adaptation in multi-domain dialogue systems. The use of this model significantly improves performance compared to a single policy baseline, as confirmed by the performed real-user trial. This is the first time a dialogue policy has been trained on multiple domains on-line in interaction with real users. ; The research leading to this work was funded by the EPSRC grant EP/M018946/1 ”Open Domain Statistical Spoken Dialogue Systems”. ; This is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/ASRU.2015.7404871 |
نوع الوثيقة: | conference object |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | https://www.repository.cam.ac.uk/handle/1810/251169; https://www.repository.cam.ac.uk/handle/1810/251251 |
الاتاحة: | https://www.repository.cam.ac.uk/handle/1810/251251 |
رقم الانضمام: | edsbas.69CD9264 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |