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| Presentation | 2010-12-06 10:10 Semantic relatedness measurement leveraging various features of Wikipedia and influential features Masahiro Ito (Osaka Univ.), Kotaro Nakayama (Univ. of Tokyo), Takahiro Hara, Shojiro Nishio (Osaka Univ.)  DE2010-26 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, several semantic relatedness measures based on Wikipedia have been proposed. Each method, however, focuses on only a single feature such as the link structure, the category structure or link co-occurrences. This research identifies influential features for semantic relatedness within various features and proposes an efficient semantic relatedness measurement method that leverages multiple features of Wikipedia using machine learning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wikipedia / Semantic Relatedness / Support Vector Machine / Support Vector Regression / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 328, DE2010-26, pp. 7-12, Dec. 2010. | |
| Paper # | DE2010-26 | |
| Date of Issue | 2010-11-29 (DE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | DE2010-26 |
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| Conference Information | |
| Committee | DE |
| Conference Date | 2010-12-06 - 2010-12-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | AIST Tokyo Akihabara Site |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | e-Science and Data Intensive Science, etc. |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2010-12-DE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semantic relatedness measurement leveraging various features of Wikipedia and influential features |
| Sub Title (in English) | |
| Keyword(1) | Wikipedia |
| Keyword(2) | Semantic Relatedness |
| Keyword(3) | Support Vector Machine |
| Keyword(4) | Support Vector Regression |
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| 1st Author's Name | Masahiro Ito |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Kotaro Nakayama |
| 2nd Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
| 3rd Author's Name | Takahiro Hara |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Shojiro Nishio |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2010-12-06 10:10:00 |
| Presentation Time | 25 minutes |
| Registration for | DE |
| Paper # | DE2010-26 |
| Volume (vol) | vol.110 |
| Number (no) | no.328 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2010-11-29 (DE) |
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