CBR-Tagger:基于案例的基因/蛋白质提及问题推理方法

M. Neves, M. Chagoyen, J. Carazo, A. Pascual-Montano
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引用次数: 10

摘要

本文提出了一种基于案例的分类器来解决生物医学文献中的基因/蛋白质提及问题。所谓基因提及问题是指科学文本中基因和蛋白质实体的识别问题。对文本中的每个单词进行分类过程,目的是确定一个术语是否为基因提及。它是基于在已知和未知案例的基础上选择最佳或最相似的案例。在不同生物的多个数据集上对该方法进行了评估,结果表明该方法适用于基因提及问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CBR-Tagger: a case-based reasoning approach to the gene/protein mention problem
This work proposes a case-based classifier to tackle the gene/protein mention problem in biomedical literature. The so called gene mention problem consists of the recognition of gene and protein entities in scientific texts. A classification process aiming at deciding if a term is a gene mention or not is carried out for each word in the text. It is based on the selection of the best or most similar case in a base of known and unknown cases. The approach was evaluated on several datasets for different organisms and results show the suitability of this approach for the gene mention problem.
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