Co-deepening Knowledge Acquisition and Linguistic Analysis based on Large-scale Observation of Language Uses
| Project/Area Number |
23680015
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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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) |
2011-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2013: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2012: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2011: ¥10,530,000 (Direct Cost: ¥8,100,000、Indirect Cost: ¥2,430,000)
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| Keywords | 自然言語処理 / Web情報処理 / 言語理解 / 知識獲得 / 人工知能 / 情報検索 / 言語解析 / 情報分析 / 多言語処理 |
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| Research Abstract |
First, we automatically acquired linguistic knowledge from a large-scale web corpus. The acquired linguistic knowledge mainly consists of case frames, which describe the relations between predicates and their arguments. Then, we integrated such linguistic knowledge into a linguistic analyzer to improve the performance of the analyzer. We also developed an information retrieval system based on the knowledge-rich linguistic analyzer, and confirmed that our information retrieval system outperformed conventional information retrieval systems based on bag of words and dependency relations.
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Report
(4 results)
Research Products
(30 results)
