An Improved Method for Chinese Company Name and Abbreviation Recognition

被引：1
|
作者：
Meng, Lei [1 ]
Wei, Zhi-Hao [1 ]
Hu, Tian-Yi [1 ]
Cheng, Qian [1 ]
Zhu, Yu [1 ]
Wei, Xiao-Tao [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Software Engn, 3 Shang Yuan Cun, Beijing, Peoples R China
来源：
KNOWLEDGE MANAGEMENT IN ORGANIZATIONS (KMO 2017) | 2017年 / 731卷
关键词：
Company name recognition; Combination method; Abbreviation recognition; Rule-validation;
D O I：
10.1007/978-3-319-62698-7_36
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Recognizing Chinese company name entity extraction and corresponding abbreviation is vital and challenging in Chinese natural language processing, as traditional methods have difficulties in time sensitive, recognizing Out of Vocabulary words, and collecting training data from open data set etc. To avoid the effects of those issues and improve the recognizing performance, we develop a new algorithm that combines and optimizes the rule-based way, dictionary-way and statistics-learning way together. The precision, recall and F are 96.75%, 89.05% and 92.74% respectively in financial news from the internet.
引用
收藏
页码：435 / 447
页数：13
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