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• W1760471981 abstract "<para xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> With the availability of large corpora of spoken dialog, it is now possible to use data-driven techniques to build and use models of task-oriented dialogs. In this paper, we use data-driven techniques to build task structures for individual dialogs, and use the dialog task structures for: dialog act classification, task/subtask classification, task/subtask prediction, and dialog act prediction. We evaluate our approach using a corpus of customer/agent dialogs from a catalog service domain. This paper demonstrates the feasibility of using corpora of human–human conversation to learn dialog models suitable for human–computer dialog applications. </para>" @default.
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• W1760471981 date "2008-09-01" @default.
• W1760471981 modified "2023-10-14" @default.
• W1760471981 title "Learning the Structure of Task-Driven Human–Human Dialogs" @default.
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• W1760471981 doi "https://doi.org/10.1109/tasl.2008.2001102" @default.
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