Unifying Natural Logic and Probabilistic Logic for Recognizing Textual Relations

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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.