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- W2168569413 abstract "In this paper we investigate a novel method to detect asymmetric entailment relations between verbs. Our starting point is the idea that some point-wise verb selectional preferences carry relevant semantic information. Experiments using Word-Net as a gold standard show promising results. Where applicable, our method, used in combination with other approaches, significantly increases the performance of entailment detection. A combined approach including our model improves the AROC of 5% absolute points with respect to standard models." @default.
- W2168569413 created "2016-06-24" @default.
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- W2168569413 date "2006-01-01" @default.
- W2168569413 modified "2023-09-24" @default.
- W2168569413 title "Discovering asymmetric entailment relations between verbs using selectional preferences" @default.
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- W2168569413 doi "https://doi.org/10.3115/1220175.1220282" @default.
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