Finding genomic ontology terms in text using evidence content.
Finding genomic ontology terms in text using evidence content.
复制标题
使用证据内容在文本中找到基因组本体术语。
DOI：
10.1186/1471-2105-6-s1-s21
复制
发表时间：
2005
影响因子：
3
通讯作者：
Coutinho, PM
中科院分区：
文献类型：
--
作者：
Couto, FM;Silva, MJ;Coutinho, PM
利用科学文献对生物实体及其属性进行注释的文本挖掘系统的开发是近年来的一个重要研究课题。这些系统首先需要识别文本中的生物实体和属性，然后决定哪些对代表有效的注释。本文介绍了一种新的无监督方法，用于识别非结构化文本中的生物特性，涉及其名称的证据内容。本文档展示了将我们的方法应用于BioCreative任务2.1和2.2所获得的结果，其中它在一组文章中识别了Gene Ontology注释及其证据。从BioCreative中获得的性能来看，我们认为自动标注系统可以有效地使用我们的方法来识别非结构化文本中的生物特性。
The development of text mining systems that annotate biological entities with their properties using scientific literature is an important recent research topic. These systems need first to recognize the biological entities and properties in the text, and then decide which pairs represent valid annotations. This document introduces a novel unsupervised method for recognizing biological properties in unstructured text, involving the evidence content of their names. This document shows the results obtained by the application of our method to BioCreative tasks 2.1 and 2.2, where it identified Gene Ontology annotations and their evidence in a set of articles. From the performance obtained in BioCreative, we concluded that an automatic annotation system can effectively use our method to identify biological properties in unstructured text.