Tagging gene and protein names in full text articles

L. Tanabe, W. Wilbur
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引用次数: 65

Abstract

Current information extraction efforts in the biomedical domain tend to focus on finding entities and facts in structured databases or MEDLINE® abstracts. We apply a gene and protein name tagger trained on Medline abstracts (ABGene) to a randomly selected set of full text journal articles in the biomedical domain. We show the effect of adaptations made in response to the greater heterogeneity of full text.
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在全文文章中标记基因和蛋白质名称
当前生物医学领域的信息提取工作往往侧重于在结构化数据库或MEDLINE®摘要中查找实体和事实。我们将Medline摘要训练的基因和蛋白质名称标注器(ABGene)应用于随机选择的一组生物医学领域的全文期刊文章。我们展示了适应全文更大异质性的影响。
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MPLUS: a probabilistic medical language understanding system Tuning support vector machines for biomedical named entity recognition Biomedical text retrieval in languages with a complex morphology Utilizing text mining results: The Pasta Web System Contrast and variability in gene names
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