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"item_title" : "Reinforcement Learning for Adaptive Dialogue Systems",
"item_author" : [" Verena Rieser", "Oliver Lemon "],
"item_description" : "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.",
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Reinforcement Learning for Adaptive Dialogue Systems : A Data-Driven Methodology for Dialogue Management and Natural Language Generation
by Verena Rieser and Oliver Lemon
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Overview
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.
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Details
- ISBN-13: 9783642249419
- ISBN-10: 3642249418
- Publisher: Springer
- Publish Date: November 2011
- Dimensions: 9.2 x 6.1 x 0.8 inches
- Shipping Weight: 1 pounds
- Page Count: 256
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