Global path-based refinement of noisy graphs applied to verb semantics

Authors:
Timothy Chklovski;Patrick Pantel
Affiliations:
Information Sciences Institute, University of Southern California, Marina del Rey, CA;Information Sciences Institute, University of Southern California, Marina del Rey, CA
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

Recently, researchers have applied text- and web-mining algorithms to mine semantic resources. The result is often a noisy graph of relations between words. We propose a mathematically rigorous refinement framework, which uses path-based analysis, updating the likelihood of a relation between a pair of nodes using evidence provided by multiple indirect paths between the nodes. Evaluation on refining temporal verb relations in a semantic resource called VerbOcean showed a 16.1% error reduction after refinement.