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by Andrew Garl, Neal Lesh, Ace Sidner
http://www.cs.brandeis.edu/~aeg/papers/garland.naacl01w.ps.gz
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Abstract:
Combining general principles about collaboration with a task model for a specic environment allows an agent to adapt its utterences based upon the history of interactions with the user. However, developing models that can be used by a collaborative agent is a signicant engineering challenge. Learning techniques that infer an accurate model for a given task from annotated examples can lessen this burden considerably. However, there are is still a noticeable disparity between an accurate model and a model that results in dialogs that a human user is comfortable with.
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conversational case-based recommendation
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