Unifying Natural Logic and Probabilistic Logic for Recognizing Textual Relations
| Project/Area Number |
23700157
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | Tohoku University |
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Principal Investigator |
WATANABE Yotaro 東北大学, 大学院・情報科学研究科, 助教 (70583326)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 含意関係認識 / 自然論理 / アライメント / 文間関係認識 / 対数線形識別モデル / 隠れ変数 |
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| Research Abstract |
The principal investigator established a novel probabilistic model for recognizing textual relations that unifies Natural Logic, a logic over natural language, and a statistical probabilistic model. By modeling an inference process of a textual relation as alignment between units in sentences and inference over a factor graph, it makes possible to precisely handle several linguistic phenomena in natural languages, and provide robustness by automatically learning linguistic relations from a set of datasets. Evaluation over multiple datasets had been conducted, and the effectiveness of the model had been proved.
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Report
(3 results)
Research Products
(24 results)
