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Reinforcement Learning for Adaptive Dialogue Systems: A Data-Driven Methodology for Dialogue Management and Natural Language Generation
Hardcover
Series: Theory and Applications of Natural Language Processing
ISBN13: 9783642249419
Publisher: Springer
Published: Nov 24 2011
Pages: 256
Weight: 1.00
Height: 0.80 Width: 6.10 Depth: 9.20
Language: English
1.Introduction.- 2.Background.- 3.Reinforcement Learning for Information Seeking dialogue strategies.- 4.The bootstrapping approach to developing Reinforcement Learning-based strategies.- 5.Data Collection in aWizard-of-Oz experiment.- 6.Building a simulated learning environment from Wizard-of-Oz data.- 7.Comparing Reinforcement and Supervised Learning of dialogue policies with real users.- 8.Meta-evaluation.- 9.Adaptive Natural Language Generation.- 10.Conclusion.- References.- Example Dialogues.- A.1.Wizard-of-Oz Example Dialogues.- A.2.Example Dialogues from Simulated Interaction.- A.3.Example Dialogues from User Testing.- Learned State-Action Mappings.- Index.
1 different editions
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Reinforcement Learning for Adaptive Dialogue Systems: A Data-Driven Methodology for Dialogue Management and Natural Language Generation
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Rieser, Verena
Reinforcement Learning for Adaptive Dialogue Systems: A Data-Driven Methodology for Dialogue Management and Natural Language Generation
Lemon, Oliver
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