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一种基于复合特征的中文地名识别方法.

Authors :
魏勇
李鸿飞
胡丹露
李响
马雷雷
Source :
Geomatics & Information Science of Wuhan University. Jan2018, Vol. 43 Issue 1, p17-23. 7p.
Publication Year :
2018

Abstract

Chinese place name recognition is a research topic in named entity recognition, and a key to improve the application level of the geographic information systems in China. The traditional place name recognition method is based on the element characteristics of a place name and the part of speech of words, and employs limited features. This paper proposes a method of Chinese place name recognition method using syntactic features, and mines the syntactic characteristics of place names in natural language. The design employs four syntactic features, class, path, distance, and number, in conditional random fields (CRF) to train and recognize Chinese place names based on place name element s, position of speech (POS) and syntactic features. Comparative experiments with composite features and traditional features for Chinese place name show that with the help of the three composite feature,s Chinese place name recognition accuracy and recall rate can be improved effectively and with good results for complex place names. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16718860
Volume :
43
Issue :
1
Database :
Academic Search Index
Journal :
Geomatics & Information Science of Wuhan University
Publication Type :
Academic Journal
Accession number :
127440461
Full Text :
https://doi.org/10.13203/j.whugis20150538