Paper: A semantic relatedness metric based on free link structure (short paper)

ACL ID W09-3743
Title A semantic relatedness metric based on free link structure (short paper)
Venue International Conference on Computational Semantics
Session Main Conference
Year 2009
Authors

While shortest paths in WordNet are known to correlate well with semantic similarity, an is-a hierarchy is less suited for estimating se- mantic relatedness. We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia) to WordNet. Using the Finkelstein- 353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics. Concept- Net attains a good correlation as well, but suffers from a low concept coverage.