| 基于条件随机场的中文组织机构名识别研究 |
| |
| 引用本文： | 周波,蔡东风.基于条件随机场的中文组织机构名识别研究[J].沈阳航空工业学院学报,2009,26(1). |
| |
| 作者姓名： | 周波 蔡东风 |
| |
| 作者单位： | 沈阳航空工业学院知识工程中心,辽宁,沈阳,100034 |
| |
| 摘 要： | 中文机构名自动识别是自然语言处理的一个难点,提出一种基于条件随机场的字词模型相结合的识别组织机构名的方法.该方法针对机构名的特点并利用知网进行两方面的特征选择.在开放测试中,字模型和词模型的F-值分别为91.51%和91.09%,两者进行互补结合之后F-值分别为92.37%和92.06%,说明字词模型结果具有互补差异性,相结合可以取得比单一模型更好的结果.
|
| 关 键 词： | 机构名自动识别 字模型 条件随机场 知网 |
Recognition of Chinese organization name based on conditional random fields |
| |
| ZHOU Bo,CAI Dong-feng.Recognition of Chinese organization name based on conditional random fields[J].Journal of Shenyang Institute of Aeronautical Engineering,2009,26(1). |
| |
| Authors: | ZHOU Bo CAI Dong-feng |
| |
| Institution: | Knowledge Engineering Center;Shenyang Institute of Aeronautical Engineering;Liaoning Shenyang 110034 |
| |
| Abstract: | Automatic recognition of Chinese organization name is a very difficult problem in natural language processing.This paper presents a new method for Chinese organization name recognition based on the cooperation of character model and word model using conditional random fields.This method selects two kinds of features respectively from the feature of the organization name and Hownet.In open test,the F-value of the character model and the word model are 91.51% and 91.09%,it obtains 92.37% and 92.06% after comb... |
| |
| Keywords: | automatic recognition of organization name character model conditional random fields hownet |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
