Paper: Extracting Semantic Clusters From The Alignment Of Definitions

ACL ID C00-2115
Title Extracting Semantic Clusters From The Alignment Of Definitions
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

Through tile alignment of definitions fronl two or more dilTerent sources, it is possible to retrieve pairs of words that can be used indistinguishably in the same sentence without changing tile meaning of the concept. As lexicographic work exploits common defining schemes, such as genus and dilTerentia, a concept is simihu'ly defined by different dictionaries. The dilTerence in words used between two lexicographic sources lets us extend lhe lexical knowledge base, so that clustering is available through merging two or more dictionaries into a single database and then using an approlwiate alignment techlaique. Since aligmnent starts from thc same entry of two dictionaries, clustering is l~lster than any other technique. Tile algorithm introduced here is analogy- based, and starts from calc...