The Oil Field Multi-word Term Recognition Based on Hybrid Strategy

被引：0
|
作者：
Liang, Ying-hong [1 ]
Liang, Ying-hong [1 ]
Li, Jin-xiang [1 ]
Xian, Xue-feng [1 ]
Chen, Ke [1 ]
机构：
[1] Suzhou High Tech Key Lab Cloud Comp & Intelligent, Suzhou 215104, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2013) | 2013年
关键词：
C-value; Mutual Information; Term Recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aim to the real application of oil field, a multi-word oil term recognition method that can achieve higher precision is proposed in this paper. It integrates the predominance of C-value parameter in long term recognition and the mutual information. The experimentation result shows the precision is 79.2%, recall is 90%, and F-measure is 84.26 %, which is higher than that of other method on the same corpus.
引用
收藏
页码：395 / 398
页数：4
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