Paper: An Ordering of Terms Based on Semantic Relatedness

ACL ID W09-3721
Title An Ordering of Terms Based on Semantic Relatedness
Venue International Conference on Computational Semantics
Session Main Conference
Year 2009
Authors

Term selection methods typically employ a statistical measure to filter or weight terms. Term expansion for IR may also depend on statistics, or use some other, non-metric method based on a lexical resource. At the same time, a wide range of semantic similarity mea- sures have been developed to support natural language processing tasks such as word sense disambiguation. This paper combines the two ap- proaches and proposes an algorithm that provides a semantic order of terms based on a semantic relatedness measure. This semantic order can be exploited by term weighting and term expansion methods.