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Semi-supervised Maximum Entropy based approach to acronym and abbreviation normalization in medical texts
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Semi-supervised Maximum Entropy based approach to acronym and abbreviation normalization in medical texts
Semi-supervised Maximum Entropy based approach to acronym and abbreviation normalization in medical texts
SP
Serguei Pakhomov
Serguei Pakhomov
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1 January 2001
conference paper
Published by
Association for Computational Linguistics (ACL)
p.
160
https://doi.org/10.3115/1073083.1073111
Abstract
No abstract available
Cited by 36 articles