Presentation | 2014-06-15 Detection of Community Events Using HTML Structure of Web Documents Kazuki ASANO, Koichi TAKEUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently many community events are held in local areas. To join the events must be enjoyable, however, these community events are local information then it is difficult to capture the events if we do not know the existence. Then the aim of this research is to collect the information of the local community events that may not be announced previously in newspapers nor TV, but previously announced by the Web sites. In this manuscript, we report preliminary results of applying two methods: (1) a rule-based based on HTML structure and character pattern, and (2) a support vectore machine based system utilizing features used in the method (1). The experimental results show that the SVM-based system can extract name of events, dates, period of time and places in 59.4% accruacy. We will discuss how we can improve the current system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | event extraction / Support Vector Machine / html structure analysis |
Paper # | NLC2014-10 |
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Committee | NLC |
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Conference Date | 2014/6/7(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) | Detection of Community Events Using HTML Structure of Web Documents |
Sub Title (in English) | |
Keyword(1) | event extraction |
Keyword(2) | Support Vector Machine |
Keyword(3) | html structure analysis |
1st Author's Name | Kazuki ASANO |
1st Author's Affiliation | Graduate School of Natural Sience and Technology, Okayama University() |
2nd Author's Name | Koichi TAKEUCHI |
2nd Author's Affiliation | Graduate School of Natural Sience and Technology, Okayama University |
Date | 2014-06-15 |
Paper # | NLC2014-10 |
Volume (vol) | vol.114 |
Number (no) | 81 |
Page | pp.pp.- |
#Pages | 6 |
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