Settles Burr
Department of Computer Sciences and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison Madison, WI 52706, USA.
Bioinformatics. 2005 Jul 15;21(14):3191-2. doi: 10.1093/bioinformatics/bti475. Epub 2005 Apr 28.
ABNER (A Biomedical Named Entity Recognizer) is an open source software tool for molecular biology text mining. At its core is a machine learning system using conditional random fields with a variety of orthographic and contextual features. The latest version is 1.5, which has an intuitive graphical interface and includes two modules for tagging entities (e.g. protein and cell line) trained on standard corpora, for which performance is roughly state of the art. It also includes a Java application programming interface allowing users to incorporate ABNER into their own systems and train models on new corpora.
ABNER(一种生物医学命名实体识别器)是一款用于分子生物学文本挖掘的开源软件工具。其核心是一个使用条件随机场并具备各种正字法和上下文特征的机器学习系统。最新版本是1.5,它具有直观的图形界面,并且包括两个用于标记在标准语料库上训练的实体(例如蛋白质和细胞系)的模块,其性能大致处于当前的先进水平。它还包括一个Java应用程序编程接口,允许用户将ABNER集成到他们自己的系统中,并在新的语料库上训练模型。