| 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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| 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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