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%0 Conference Proceedings
%T Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts
%A Pakhomov, Serguei
%Y Isabelle, Pierre
%Y Charniak, Eugene
%Y Lin, Dekang
%S Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics
%D 2002
%8 July
%I Association for Computational Linguistics
%C Philadelphia, Pennsylvania, USA
%F pakhomov-2002-semi
%R 10.3115/1073083.1073111
%U https://aclanthology.org/P02-1021
%U https://doi.org/10.3115/1073083.1073111
%P 160-167

Markdown (Informal)

[Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts](https://aclanthology.org/P02-1021) (Pakhomov, ACL 2002)

• Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts (Pakhomov, ACL 2002)

ACL

• Serguei Pakhomov. 2002. Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 160–167, Philadelphia, Pennsylvania, USA. Association for Computational Linguistics.