Paper: Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD

ACL ID P10-1156
Title Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Word Sense Disambiguation remains one of the most complex problems facing com- putational linguists to date. In this pa- per we present a system that combines evidence from a monolingual WSD sys- tem together with that from a multilingual WSD system to yield state of the art per- formance on standard All-Words data sets. The monolingual system is based on a modification of the graph based state of the art algorithm In-Degree. The multilingual system is an improvement over an All- Words unsupervised approach, SALAAM. SALAAM exploits multilingual evidence as a means of disambiguation. In this paper, we present modifications to both of the original approaches and then their combination. We finally report the highest results obtained to date on the SENSEVAL 2 standard data set using an unsuper...