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|Title: ||Detection of task-incomplete dialogs based on utterance-and-behavior tag N-gram for spoken dialog systems|
|Authors: ||Hara, Sunao|
|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.|
|Appears in Collections:||1.国際会議(情）|
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