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Enhancing filter-based parenthetic abbreviation extraction methods.

ABSTRACT: This letter discusses the limitations of the use of filters to enhance the accuracy of the extraction of parenthetic abbreviations from scholarly publications and proposes the usage of the parentheses level count algorithm to efficiently extract entities between parentheses from raw texts as well as of machine learning-based supervised classification techniques for the identification of biomedical abbreviations to significantly reduce the removal of acronyms including disallowed punctuations.

SUBMITTER: Turki H

PROVIDER: S-EPMC7936512 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Enhancing filter-based parenthetic abbreviation extraction methods.

Turki Houcemeddine H Hadj Taieb Mohamed Ali MA Ben Aouicha Mohamed M

Journal of the American Medical Informatics Association : JAMIA 20210301 3

This letter discusses the limitations of the use of filters to enhance the accuracy of the extraction of parenthetic abbreviations from scholarly publications and proposes the usage of the parentheses level count algorithm to efficiently extract entities between parentheses from raw texts as well as of machine learning-based supervised classification techniques for the identification of biomedical abbreviations to significantly reduce the removal of acronyms including disallowed punctuations. ...[more]

PMID: 33355359

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