Presentation 2004/12/15
Out-of-Domain Detection Incorporating Dialogue Context and Topic Clustering
Ian R. LANE, Tatsuya KAWAHARA, Satoshi NAKAMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The detection and handling of OOD (out-of-domain) user utterances are significant problems for spoken language systems. We have proposed a novel OOD detection framework, which makes use of classification confidence scores of multiple topics. In this paper, we extend this framework in order to handle natural language dialogue. Specifically, two issues are addressed. First, to effectively incorporate dialogue context, we investigate methods to combine multiple utterances at various stages of the OOD detection process: at the sentence, topic classification, and in-domain verification level. Second, to improve robustness on spontaneous speech, we introduce a topic clustering scheme which provides.reliable topic classification confidence even for indistinct utterances. The system was evaluated on natural dialogue via the ATR speech-to-speech translation system, and a significant improvement in OOD detection accuracy was achieved by incorporating the two proposed techniques.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Speech recognition / out-of-domain detection / confidence measures / dialogue context / topic clustering
Paper # NLC2004-90,SP2004-130
Date of Issue

Conference Information
Committee NLC
Conference Date 2004/12/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Out-of-Domain Detection Incorporating Dialogue Context and Topic Clustering
Sub Title (in English)
Keyword(1) Speech recognition
Keyword(2) out-of-domain detection
Keyword(3) confidence measures
Keyword(4) dialogue context
Keyword(5) topic clustering
1st Author's Name Ian R. LANE
1st Author's Affiliation Graduate School of Informatics, Kyoto University:ATR Spoken Language Translation Laboratories()
2nd Author's Name Tatsuya KAWAHARA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University:ATR Spoken Language Translation Laboratories
3rd Author's Name Satoshi NAKAMURA
3rd Author's Affiliation ATR Spoken Language Translation Laboratories
Date 2004/12/15
Paper # NLC2004-90,SP2004-130
Volume (vol) vol.104
Number (no) 540
Page pp.pp.-
#Pages 6
Date of Issue