Abstract
This paper presents a set of quality measures to determine the choice of the best expansion for an acronym not defined in the Web page. The method uses statistics computed on Web pages to determine the appropriate expansion. Measures are context-based and rely on the assumption that the most frequent words in the page are related semantically or lexically to the acronym expansion.
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Roche, M., Prince, V. (2007). AcroDef: A Quality Measure for Discriminating Expansions of Ambiguous Acronyms. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds) Modeling and Using Context. CONTEXT 2007. Lecture Notes in Computer Science(), vol 4635. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74255-5_31
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DOI: https://doi.org/10.1007/978-3-540-74255-5_31
Publisher Name: Springer, Berlin, Heidelberg
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