A Framework for Unsupervised Learning of Dialogue Strategies.pdf

A Framework for Unsupervised Learning of Dialogue Strategies

Olivier Pietquin

This book addresses the problems of spoken dialogue system design and especially automatic learning of optimal strategies for man-machine dialogues. Besides the description of the learning methods, this text proposes a framework for realistic simulation of human-machine dialogues based on probabilistic techniques, which allows automatic evaluation and unsupervised learning of dialogue strategies. This framework relies on stochastic modelling of modules composing spoken dialogue systems as well as on user modelling. Special care has been taken to build models that can either be hand-tuned or learned from generic data.

A Framework for Unsupervised Learning of Dialogue Strategies, 2-930344-63-6, SIMILAR Collection, Presses Universitaires de Louvain (2004). Google Scholar.

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9782930344638 ISBN
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A Framework for Unsupervised Learning of Dialogue Strategies.pdf

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Self-Supervised Dialogue Learning | DeepAI

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Mattio Müllers

7 Jun 2019 ... AMIA urges FDA to modify AI, machine learning framework ... regulating AI and Machine Learning-based SaMD will require ongoing dialogue ... by human developers, machine learning approaches use techniques such as Reinforcement Learning (RL) [2], so that the DS is able to learn strategies at ...

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Noels Schulzen

A Framework for Unsupervised Learning of Dialogue Strategies | Olivier Pietquin, Similar | ISBN: 9782930344638 | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

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Jason Leghmann

AmazonでのA Framework for Unsupervised Learning of Dialogue Strategies。アマゾンならポイント還元本が多数。作品ほか、お急ぎ便対象商品は当日お届けも可能。またA Framework for Unsupervised Learning of Dialogue Strategiesもアマゾン配送商品なら通常配送無料。

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Jessica Kolhmann

Second, the concept of 'partially specified dialogue strategies' was proposed for integrating simultaneously hand-coded and learnt spoken dialogue behaviours into a single learning framework User and Noise Adaptive Dialogue Management …