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Example of VerbOcean: invent happens-beofre manufacture
Example: VerbOcean's temporal precedence chains (the "happens-before" relation) between invent and manufacture shown with edge weights


VerbOcean is a broad-coverage semantic network of verbs.

Here are the the relations the currently released, unrefined version contains, with some data:

Semantic Relation Example Transitive Symmetric Num in VerbOcean
similarity produce :: create Y Y 11,515
strength wound :: kill Y N 4,220
antonymy open :: close N Y 1,973
enablement fight :: win N N 393
happens-before buy :: own;
marry :: divorce
Y N 4,205


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For an explanation of how it was constructed, please see:

Timothy Chklovski and Patrick Pantel. 2004.VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-04). Barcelona, Spain. [pdf]

For some work on how to use paths through the graph to refine individual edges, please see:

Timothy Chklovski and Patrick Pantel. 2005. Global Path-based Refinement of Noisy Graphs Applied to Verb Semantics. In Proceedings of The Second International Joint Conference on Natural Language Processing (IJCNLP-05), Jeju Island, South Korea, October 11-13, 2005 [pdf]

Timothy Chklovski and Patrick Pantel. 2004. Path Analysis for Refining Verb Relations. In Proceedings of KDD Workshop on Link Analysis and Group Detection (LinkKDD-04). Seattle, WA. [pdf]

© Timothy Chklovski and Patrick Pantel 2004-2016; All Rights Reserved. With any questions, contact Timothy Chklovski or Patrick Pantel.