Text detective: a rule-based system for gene annotation in biomedical texts.
Text detective: a rule-based system for gene annotation in biomedical texts.
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DOI：
10.1186/1471-2105-6-s1-s10
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发表时间：
2005
影响因子：
3
通讯作者：
Tamames J
中科院分区：
文献类型：
--
作者：
Tamames J
生物医学文本中基因或基因产物的识别是文本挖掘在生物科学中应用的关键步骤。基因命名的复杂性和模糊性使得这是一项非常困难的任务。在这里，我们提出了一种新的方法的基础上精心设计的规则和生物概念的几个词汇，在文本侦探系统中实现的组合。Text Detective能够通过提供适当的数据库参考来规范化发现的基因提及结果。在BioCreAtIvE评估中，Text Detective在任务1A中实现了84%的精确度，71%的召回率，在任务1B中实现了79%的精确度，71%的召回率。
The identification of mentions of gene or gene products in biomedical texts is a critical step in the development of text mining applications in biosciences. The complexity and ambiguity of gene nomenclature makes this a very difficult task. Here we present a novel approach based on a combination of carefully designed rules and several lexicons of biological concepts, implemented in the Text Detective system. Text Detective is able to normalize the results of gene mentions found by offering the appropriate database reference. In BioCreAtIvE evaluation, Text Detective achieved results of 84% precision, 71% recall for task 1A, and 79% precision, 71% recall for mouse genes in task 1B.