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• W2112576450 abstract "We combine logical and distributional representations of natural language meaning by transforming distributional similarity judgments into weighted inference rules using Markov Logic Networks (MLNs). We show that this framework supports both judging sentence similarity and recognizing textual entailment by appropriately adapting the MLN implementation of logical connectives. We also show that distributional phrase similarity, used as textual inference rules created on the fly, improves its performance." @default.
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• W2112576450 date "2013-06-01" @default.
• W2112576450 modified "2023-09-26" @default.
• W2112576450 title "Montague Meets Markov: Deep Semantics with Probabilistic Logical Form" @default.
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