Paper: A Robust Approach to Aligning Heterogeneous Lexical Resources

ACL ID P14-1044
Title A Robust Approach to Aligning Heterogeneous Lexical Resources
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

Lexical resource alignment has been an active field of research over the last decade. However, prior methods for align- ing lexical resources have been either spe- cific to a particular pair of resources, or heavily dependent on the availability of hand-crafted alignment data for the pair of resources to be aligned. Here we present a unified approach that can be applied to an arbitrary pair of lexical resources, includ- ing machine-readable dictionaries with no network structure. Our approach leverages a similarity measure that enables the struc- tural comparison of senses across lexical resources, achieving state-of-the-art per- formance on the task of aligning WordNet to three different collaborative resources: Wikipedia, Wiktionary and OmegaWiki.