Presentation 2011-11-21
Extraction of Context Information from Microblogs Using Entity Linking
Norifumi HIRATA, Shun SHIRAMATSU, Tadachika OZONO, Toramatsu SHINTANI,
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Abstract(in English) We introduce a method for extraction of context information from microblogs using entity linking. A characteristic of Twitter is its real-time nature and is restricted to 140 characters. We use news articles and microblogs for entity linking and extract context information. The entity links are built by attribute information. For regional context, the entity links consist of regional entity. Context information is extracted from the entity links. We describe a scheme of context information as Linked Data and a Web interface for accessing context information.
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Keyword(in English) Microblogs / News Articles / Context Information / Entity Linking
Paper # AI2011-26
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Conference Information
Committee AI
Conference Date 2011/11/14(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extraction of Context Information from Microblogs Using Entity Linking
Sub Title (in English)
Keyword(1) Microblogs
Keyword(2) News Articles
Keyword(3) Context Information
Keyword(4) Entity Linking
1st Author's Name Norifumi HIRATA
1st Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology()
2nd Author's Name Shun SHIRAMATSU
2nd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology
3rd Author's Name Tadachika OZONO
3rd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology
4th Author's Name Toramatsu SHINTANI
4th Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering Nagoya Institute of Technology
Date 2011-11-21
Paper # AI2011-26
Volume (vol) vol.111
Number (no) 310
Page pp.pp.-
#Pages 5
Date of Issue