A survey on metrics for the evaluation of user simulations

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Publicado en:The Knowledge Engineering Review vol. 28, no. 1 (Mar 2013), p. 59-73
Autor principal: Pietquin, Olivier
Otros Autores: Hastie, Helen
Publicado:
Cambridge University Press
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Acceso en línea:Citation/Abstract
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100 1 |a Pietquin, Olivier 
245 1 |a A survey on metrics for the evaluation of user simulations 
260 |b Cambridge University Press  |c Mar 2013 
513 |a Feature 
520 3 |a Abstract User simulation is an important research area in the field of spoken dialogue systems (SDSs) because collecting and annotating real human-machine interactions is often expensive and time-consuming. However, such data are generally required for designing, training and assessing dialogue systems. User simulations are especially needed when using machine learning methods for optimizing dialogue management strategies such as Reinforcement Learning, where the amount of data necessary for training is larger than existing corpora. The quality of the user simulation is therefore of crucial importance because it dramatically influences the results in terms of SDS performance analysis and the learnt strategy. Assessment of the quality of simulated dialogues and user simulation methods is an open issue and, although assessment metrics are required, there is no commonly adopted metric. In this paper, we give a survey of User Simulations Metrics in the literature, propose some extensions and discuss these metrics in terms of a list of desired features. [PUBLICATION ABSTRACT] 
653 |a Computer simulation 
653 |a Systems design 
653 |a Machine learning 
653 |a Simulation 
653 |a Datasets 
653 |a Performance evaluation 
653 |a Interactive computer systems 
653 |a Human-computer interaction 
653 |a User behavior 
700 1 |a Hastie, Helen 
773 0 |t The Knowledge Engineering Review  |g vol. 28, no. 1 (Mar 2013), p. 59-73 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/1289469692/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/1289469692/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch