Presentation | 2011-10-10 A text segmentation method via continuous HMM Yasuhiro TAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A text segmentation method via continuous HMM is shown in this paper. In general, an HMM has output symbols of vocublary, i.e. one word will be output by one step. In contrast, our method uses an HMM whose output symbol is a vector of word counts. The vector corresponds to a sliding window on a text. We evaluate this HMM, then we confirmed that our method has higher performance than a general case HMM. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text segmentation / n-gram / Hidden Markov Model |
Paper # | TL2011-30,NLC2011-27 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2011/10/3(1days) |
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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) | A text segmentation method via continuous HMM |
Sub Title (in English) | |
Keyword(1) | Text segmentation |
Keyword(2) | n-gram |
Keyword(3) | Hidden Markov Model |
1st Author's Name | Yasuhiro TAJIMA |
1st Author's Affiliation | Okayama Prefectural University, Department of systems engineering() |
Date | 2011-10-10 |
Paper # | TL2011-30,NLC2011-27 |
Volume (vol) | vol.111 |
Number (no) | 228 |
Page | pp.pp.- |
#Pages | 5 |
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