| Presentation | 2012/6/21 Extracting protein-protein interaction from litratures based on semi-supervised learning using multiple classifiers SHUN KOYABU, TAKENAO OHKAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Semi-supervised learning based on tentative label prediction is a useful technique for automatic extraction of protein-protein interaction from litratures if enough training instances cannot be prepared. In such a framework of semi-supervised learning, how we predict the correct labels is very important for accurate extraction. In this paper, we propose a method of predicting tentative labels based on multiple classifiers introducing two types of measures for evaluating each classifier, similarity among the classifiers and reliability of the classifiers. As a result of experiment, the proposed method shows higher precision values for relatively large dataset, in comparison with conventiional methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | information extraction / protein-protein interaction / semi-supervised learning |
| Paper # | Vol.2012-BIO-29 No.15 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2012/6/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extracting protein-protein interaction from litratures based on semi-supervised learning using multiple classifiers |
| Sub Title (in English) | |
| Keyword(1) | information extraction |
| Keyword(2) | protein-protein interaction |
| Keyword(3) | semi-supervised learning |
| 1st Author's Name | SHUN KOYABU |
| 1st Author's Affiliation | () |
| 2nd Author's Name | TAKENAO OHKAWA |
| 2nd Author's Affiliation | |
| Date | 2012/6/21 |
| Paper # | Vol.2012-BIO-29 No.15 |
| Volume (vol) | vol.112 |
| Number (no) | 108 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |