Presentation 2015-02-06
Extracting Relationship of Meeting Minutes Generated By Speech Recognition System using Collective Entity Resolution
Motoki ITO, Seikoh NISHITA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Meeting minutes generation systems by speech recognition are used in various situations. In a case where generated texts are not regarded as formal meeting minutes, but as information to be looked back, the generated text are not strictly managed, and the texts includes wrong words caused by mis-recognition of the system. Such wrong words makes information retrieval on minutes difficult. This paper proposes a technique to extract relationship of minutes generated by speech recognition system, which is based on Collective Entity Resolution.
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Keyword(in English) Speech recognition / meeting minutes / text mining
Paper # NLC2014-49
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Conference Information
Committee NLC
Conference Date 2015/1/29(1days)
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Paper Information
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) Extracting Relationship of Meeting Minutes Generated By Speech Recognition System using Collective Entity Resolution
Sub Title (in English)
Keyword(1) Speech recognition
Keyword(2) meeting minutes
Keyword(3) text mining
1st Author's Name Motoki ITO
1st Author's Affiliation Information and Design Science Engineering Graduate School of Takushoku University()
2nd Author's Name Seikoh NISHITA
2nd Author's Affiliation Department of Computer Science, Takushoku University
Date 2015-02-06
Paper # NLC2014-49
Volume (vol) vol.114
Number (no) 444
Page pp.pp.-
#Pages 5
Date of Issue