Corpus-driven development of a large-scale lexicon of lexical semantics structures
| Project/Area Number |
19700130
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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 | The University of Tokyo |
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Principal Investigator |
MIYAO Yusuke The University of Tokyo, 大学院・情報理工学系研究科, 助教 (00343096)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,830,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2007: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | 自然言語処理 / 意味構造 |
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| Research Abstract |
We aim at the automatic analysis of semantic structures of natural language texts, and developed a large-scale lexicon of lexical semantics, which represents meanings a word inherently owns. Conventional lexicons cannot assign semantic structures to unknown words (words that do not exist in a lexicon). Therefore, this research proposed a method for representing word-to-semantics mappings as a probabilistic model. We empirically demonstrated that we can obtain a probabilistic model of a large-scale lexicon by using an existing lexicon as training data and statistics extracted from large texts as features.
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Report
(4 results)
Research Products
(14 results)
