| Presentation | 2007-01-30 Extraction of Computer Virus Information using Dependency Structure Yusaku SUZUKI, Tsuyoshi YAMAMURA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes the method of information extraction of noun phrases and sentences to create an encyclopedia from internet news articles. We extract the computer virus information (a virus name, infection routes and symptoms) using SVM (Support Vector Machine). Our previous method which only used features of surrounding morphemes or words in the sentence didn't have good performance in extraction of clauses or sentences. So, we applied dependency structures to improve the performance. As a result, our method greatly improved accuracy compared to chunking method. The information route's F-value increased by 11.04 and the symptom's F-value increased by 19.83. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Information Extraction / Support Vector Machine / Dependency Structure |
| Paper # | NLC2006-79 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2007/1/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Extraction of Computer Virus Information using Dependency Structure |
| Sub Title (in English) | |
| Keyword(1) | Information Extraction |
| Keyword(2) | Support Vector Machine |
| Keyword(3) | Dependency Structure |
| 1st Author's Name | Yusaku SUZUKI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Aichi Prefectural University() |
| 2nd Author's Name | Tsuyoshi YAMAMURA |
| 2nd Author's Affiliation | Faculty of Information Science and Technology, Aichi Prefectural University |
| Date | 2007-01-30 |
| Paper # | NLC2006-79 |
| Volume (vol) | vol.106 |
| Number (no) | 517 |
| Page | pp.pp.- |
| #Pages | 6 |
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