ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text
ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text
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DOI：
10.1093/bioinformatics/bti475
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发表时间：
2005-07-15
期刊：
影响因子：
5.8
通讯作者：
Settles, B
中科院分区：
文献类型：
--
作者：
Settles, B
ABNER（A Biomedical Named Entity Recognizer）是一个用于分子生物学文本挖掘的开源软件工具。其核心是一个机器学习系统，使用具有各种拼写和上下文特征的条件随机场。最新的版本是1.5，它有一个直观的图形界面，并包括两个模块标记实体（e。G.蛋白质和细胞系），其性能大致是最先进的。它还包括一个Java应用程序编程接口，允许用户将ABNER纳入自己的系统，并在新的语料库上训练模型。
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.