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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Speech recognition / meeting minutes / text mining |
Paper # | NLC2014-49 |
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Committee | NLC |
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Conference Date | 2015/1/29(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 |
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