VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations

@inproceedings{Chklovski2004VerbOceanMT,
  title={VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations},
  author={Timothy Chklovski and Patrick Pantel},
  booktitle={EMNLP},
  year={2004}
}
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… CONTINUE READING
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