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Please use this identifier to cite or link to this item: http://hdl.handle.net/2237/15499

Title: Detection of task-incomplete dialogs based on utterance-and-behavior tag N-gram for spoken dialog systems
Authors: Hara, Sunao
Kitaoka, Norihide
Takeda, Kazuya
Keywords: spoken dialog system
breakdowns in dialog
task incomplete dialog detection
Issue Date: 27-Aug-2011
Publisher: ISCA(International Speech Communication Association)
Citation: 12th Annual Conference of the International Speech Communication Association in Florence, Italy, on August 27-31, 2011 (INTERSPEECH 2011). 2011, p.1305-1308
Abstract: We propose a method of detecting “task incomplete” dialogs in spoken dialog systems using N-gram-based dialog models. We used a database created during a field test in which inexperienced users used a client-server music retrieval system with a spoken dialog interface on their own PCs. In this study, the dialog for a music retrieval task consisted of a sequence of user and system tags that related their utterances and behaviors. The dialogs were manually classified into two classes: the dialog either completed the music retrieval task or it didn’t. We then detected dialogs that did not complete the task, using N-gram probability models or a Support Vector Machine with N-gram feature vectors trained using manually classified dialogs. Off-line and on-line detection experiments were conducted on a large amount of real data, and the results show that our proposed method achieved good classification performance.
URI: http://hdl.handle.net/2237/15499
Appears in Collections:1.国際会議(情)

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