LFXtractor: Text chunking for long form detection from biomedical text
by Min Song, Hongfang Liu
International Journal of Functional Informatics and Personalised Medicine (IJFIPM), Vol. 3, No. 2, 2010

Abstract: In this paper, we propose a novel method to detect the corresponding long forms (LFs) of short forms (SFs) from biomedical text. The proposed method is differentiated from others as follows: it incorporates lexical analysis techniques into supervised learning for extracting abbreviations; it utilises text-chunking techniques to identify LFs of abbreviations; it significantly improves recall. The experimental results show that our approach outperforms the leading abbreviation algorithms, ExtractAbbrev, ALICE and Acrophile and a collocation-based approach at least by 4.8, 6.0, 9.0 and 6.0%, respectively, in both precision and recall on the Gold Standard Development corpus.

Online publication date: Mon, 29-Nov-2010

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