Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts

Anthology ID:: P02-1021
Volume:: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics
Month:: July
Year:: 2002
Address:: Philadelphia, Pennsylvania, USA
Editors:: Pierre Isabelle, Eugene Charniak, Dekang Lin
Venue:: ACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 160–167
Language:
URL:: https://aclanthology.org/P02-1021
DOI:: 10.3115/1073083.1073111
Bibkey:
Cite (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.
Cite (Informal):: Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts (Pakhomov, ACL 2002)
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