Efficient Dialogue Using a Probabilistic Nested User Model

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Title: Efficient Dialogue Using a Probabilistic Nested User Model
Authors: McEleney, Bryan
O'Hare, G. M. P. (Greg M. P.)
Permanent link: http://hdl.handle.net/10197/4470
Date: 1-Aug-2005
Abstract: We describe a set of dialogue simulation experiments, in which a probabilistic nested user model is employed in deciding between speech acts for a collaborative planning task, finding that a gain in utility can be obtained by using a probabilistic rather than a logical model. Given a set of ordinary dialogue plan rules, our system generates a gametree representation of the dialogue, using chance nodes to represent uncertain preconditions in the plan. Then, the game-tree is evaluated with respect to a given user model state.
Type of material: Conference Publication
Publisher: IJCAI
Copyright (published version): 2005, IJCAI
Keywords: Dialogue Systems
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the Fourth IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems
Conference Details: The 4th IJACI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Edinburgh, Scotland, August 1, 2005
Appears in Collections:Computer Science Research Collection

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