利用GATE的XML配置文件实现病历短语抽取的机器学习方法

摘要

本文利用文本工程通用框架软件的XML配置文件,来指定所学文档使用的特征参数、学习算法,实现文本病历医学短语抽取的机器学习.结果计算机能很方便的在大段病程资料中快速自动获取医生所需的医学短语信息.本学习算法具有较好的实用性,达到了预期要求.%Based on XML configuration files of general architecture for text engineering, we specified characteristics and learning algorithm of the documents, and realized machine learning of text records phrase extraction. The result was that computer could automatically obtain the phrases that doctor required from the long course information quickly. This learning algorithm has good practicability and meets the expected demand.