Improvement of Linguistic Analysis Based on Automatically Acquired Knowledge from Large Text
| Project/Area Number |
21700163
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 自然言語処理 / 大規模テキスト / 知識獲得 / 同義語 / 分布類似度 |
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| Research Abstract |
This research aims to acquire linguistic knowledge from a large text, and utilize it for improving the accuracy of linguistic analysis. The linguistic knowledge acquired from a large Web text and Wikipedia includes the similarity between words, knowledge between events, and a large-scale lexical knowledge such as synonym and hypernym, and it is managed in integrated and consistent manner. Furthermore, the acquired linguistic knowledge was utilized for improving the accuracy of linguistic analysis such as textual entailment recognition and named entity recognition.
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Report
(5 results)
Research Products
(25 results)
