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• W77146693 abstract "Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations between verbs. We detect similarity, strength, antonymy, enablement, and temporal happens-before relations between pairs of strongly associated verbs using lexicosyntactic patterns over the Web. On a set of 29,165 strongly associated verb pairs, our extraction algorithm yielded 65.5% accuracy. Analysis of error types shows that on the relation strength we achieved 75% accuracy. We provide the resource, called VERBOCEAN, for download at http://semantics.isi.edu/ocean/." @default.
• W77146693 created "2016-06-24" @default.
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• W77146693 date "2004-07-01" @default.
• W77146693 modified "2023-09-25" @default.
• W77146693 title "VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations" @default.
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