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一种中医名词术语自动抽取方法
引用本文:张五辈,白宇,王裴岩,张桂平.一种中医名词术语自动抽取方法[J].沈阳航空工业学院学报,2011,28(1):72-75.
作者姓名:张五辈  白宇  王裴岩  张桂平
作者单位:沈阳航空航天大学,知识工程研究中心,辽宁,沈阳,110136
基金项目:国家重点基础研究发展计划项目(项目编号:2010CB530401)
摘    要:针对中医领域,提出了一种基于条件随机场的术语抽取方法,该方法将中医领域术语抽取看作一个序列标注问题,将中医领域术语分布的特征量化作为训练的特征,利用CRF工具包训练出一个领域术语模型,然后利用该模型进行术语抽取。选择《名医类案》作为中医领域文本进行术语抽取实验,取得了较好的效果,准确率为83.11%,召回率为81.04%,F-值为82.06%。

关 键 词:术语抽取  条件随机场  特征量化  中医领域文本

An Automatic Domain Terms Extraction Method on Traditional Chinese Medicine Books
ZHANG Wu-bei,BAI Yu,WANG Pei-yan,ZHANG Gui-ping.An Automatic Domain Terms Extraction Method on Traditional Chinese Medicine Books[J].Journal of Shenyang Institute of Aeronautical Engineering,2011,28(1):72-75.
Authors:ZHANG Wu-bei  BAI Yu  WANG Pei-yan  ZHANG Gui-ping
Institution:ZHANG Wu-bei,BAI Yu,WANG Pei-yan,ZHANG Gui-ping (Knowledge Engineering Research Center,Shenyang Aerospace University,Liaoning Shenyang 110136)
Abstract:This paper introduces a Conditional Random Fields(CRF)based method for term extraction in Traditional Chinese Medical(TCM).This method,taking the field term extraction as an issue of sequence marking,quantitates the characters of field term distribution as the training characters,leverages the CRF toolkit to generate a field term model and uses the model for field term extraction.With Classified Medical Records of Distinguished Physicians as its test materials,the experiment results in 83.11% precision rate...
Keywords:term extraction  Conditional Random Fields(CRF)  feature  TCM  
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