2012 Fiscal Year Final Research Report
Automatically Generating Expository Text by Modeling Wikipedia
| Project/Area Number |
22300050
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
FUJII Atsushi 東京工業大学, 大学院・情報理工学研究科, 准教授 (30302433)
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| Co-Investigator(Kenkyū-buntansha) |
TOKUNAGA Takenobu 東京工業大学, 情報理工学(系)研究科, 教授 (20197875)
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| Project Period (FY) |
2010 – 2012
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| Keywords | 自然言語処理 |
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| Research Abstract |
Aiming to efficiently utilize descriptions for various terms, we proposed a method to automatically generate expository text like an article in Wikipedia, from a set of pages on the Web. Because viewpoints required for describing a term are different depending on the type of that term, such as animal and disease, we use Wikipedia articles to learn viewpoint-based patterns for term descriptions. Depending on the type of a target term, we extract required sentences from a search result and integrate them into an expository text.
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