2013 Fiscal Year Final Research Report
Textual relation recognition for information retrieval
| Project/Area Number |
22300031
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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 |
Media informatics/Database
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
MIYAO Yusuke 国立情報学研究所, コンテンツ科学研究系, 准教授 (00343096)
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| Project Period (FY) |
2010-04-01 – 2013-03-31
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| Keywords | 情報検索 / 自然言語処理 / テキスト間関係認識 / 含意関係認識 |
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| Research Abstract |
This research aims to develop a method for automatically classifying relationships between a search query and its search results, with an intelligent search engine of information science papers as a target application. By analyzing actual paper abstracts, we identified textual relations that appear in general in those papers, such as method, purpose, and result, and developed an annotated data set that consists of 100 paper abstracts. By using this data set for training/evaluation, we developed a method for automatically recognizing these relations, and achieved a practical level of accuracy. We applied this method to 3000 abstracts of information science papers, and develpoed a prototype search engine that automatically classifies search results based on these relationships.
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Research Products
(15 results)
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[Journal Article] Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-102013
Author(s)
Yotaro Watanabe, Yusuke Miyao, Junta Mizuno, Tomohide Shibata, Hiroshi Kanayama, Cheng-Wel Lee, Chuan-Jie Lin, Shuming Shi, Teruko Mitamura, Noriko Kando, Hideki Shima, Kohichi Takeda
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Journal Title
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