Witte René, Baker Christopher J O
Universität Karlsruhe (TH), Institut für Programmstrukturen und Datenorganisation (IPD), Am Fasanengarten 5, 76128, Karlsruhe, Germany.
J Bioinform Comput Biol. 2007 Dec;5(6):1339-59. doi: 10.1142/s0219720007003193.
The development of text analysis systems targeting the extraction of information about mutations from research publications is an emergent topic in biomedical research. Current systems differ in both scope and approach, thus preventing a meaningful comparison of their performance and therefore possible synergies. To overcome this evaluation bottleneck, we developed a comprehensive framework for the systematic analysis of mutation extraction systems, precisely defining tasks and corresponding evaluation metrics, that will allow a comparison of existing and future applications.
开发旨在从研究出版物中提取突变信息的文本分析系统是生物医学研究中的一个新兴课题。当前的系统在范围和方法上都有所不同，因此无法对它们的性能进行有意义的比较，进而也无法实现可能的协同效应。为了克服这一评估瓶颈，我们开发了一个用于系统分析突变提取系统的综合框架，精确地定义了任务和相应的评估指标，这将使现有和未来的应用程序能够进行比较。
