Presentation 2001/7/10
An Example-Based Method for Estimating Attributes of Out-of-Vocabulary Words for Spoken Dialogue Systems
Yasuhiro Takahashi, Kohji Dohsaka, Kiyoaki Aikawa,
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Abstract(in English) This paper proposes a new example-based method for estimating attributes of out-of-vocaburaly (OOV) words in user utterances through natural conversation without explicit Q/A. This method is advantageous because there are many cases in which the system can continue a dialogue if only attributes of OOV words are acquired. We evaluated the proposed method using examples collected from dialogues between the weather information system and the user, and making the user utterance including OOV words by assuming a part of the system's understanding of the user utterance to be OOV words. The proposed method achieved attribute estimation accuracy of 69%.
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Keyword(in English) spoken dialogue system / out-of-vocabulary word / attribute estimation / knowledge acquisition / efficient dialogue
Paper # NLC2001-35
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Committee NLC
Conference Date 2001/7/10(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Example-Based Method for Estimating Attributes of Out-of-Vocabulary Words for Spoken Dialogue Systems
Sub Title (in English)
Keyword(1) spoken dialogue system
Keyword(2) out-of-vocabulary word
Keyword(3) attribute estimation
Keyword(4) knowledge acquisition
Keyword(5) efficient dialogue
1st Author's Name Yasuhiro Takahashi
1st Author's Affiliation NTT Communication Science Laboratories()
2nd Author's Name Kohji Dohsaka
2nd Author's Affiliation NTT Communication Science Laboratories
3rd Author's Name Kiyoaki Aikawa
3rd Author's Affiliation NTT Communication Science Laboratories
Date 2001/7/10
Paper # NLC2001-35
Volume (vol) vol.101
Number (no) 190
Page pp.pp.-
#Pages 6
Date of Issue