Abstract
A process that attempts to solve abbreviation ambiguity is presented. Various contextrelated features and statistical features have been explored. Almost all features are domain independent and language independent. The application domain is Jewish Law documents written in Hebrew. Such documents are known to be rich in ambiguous abbreviations. Various implementations of the one sense per discourse hypothesis are used, improving the features with new variants. An accuracy of 96.09% has been achieved by SVM. © 2008 Association for Computational Linguistics.
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CITATION STYLE
HaCohen-Kerner, Y., Kass, A., & Peretz, A. (2008). Combined one sense disambiguation of abbreviations. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 61–64). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1557690.1557707
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