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.

中文翻译：

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增强基于过滤器的括号缩写提取方法

这封信讨论了使用过滤器来提高从学术出版物中提取括号缩写的准确性的局限性，并建议使用括号级别计数算法来有效地从原始文本以及基于机器学习的括号之间提取实体用于识别生物医学缩写的监督分类技术，以显着减少首字母缩略词的删除，包括不允许的标点符号。