DocumentCode :
1655176
Title :
A Method of Abbreviated Chinese Organization Names Recognition Based on Similarity
Author :
Tang Xianchao ; Li Zhenxing ; Feng Xia ; Xu Tao ; Zuo Haichao
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear :
2013
Firstpage :
138
Lastpage :
142
Abstract :
Currently, the lack of standardization of abbreviation for the same organization name gives rise to the omission in the various kinds of major industrys´ anti-money laundering and anti-fraud blacklist filter system. In view of this, a method of Chinese organization name abbreviation recognition based on similarity is proposed, which calculates the integrated similarity of Chinese organization names from three dimensions: character inclusion, character order and character interval, and gives the parameter value of different dimension. By threshold setting, it point out the possible abbreviation for the Chinese organization names. Experimental results prove the proposed method is effective.
Keywords :
business data processing; natural language processing; abbreviated Chinese organization names recognition; abbreviation standardization; antifraud blacklist filter system; antimoney laundering system; character inclusion; character interval; character order; same organization name; threshold setting; Accuracy; Companies; Computer science; Educational institutions; Information processing; Standards organizations; Abbreviation recognition; Blacklist filtering; Three-dimensional integrated similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information System and Application Conference (WISA), 2013 10th
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4799-3218-4
Type :
conf
DOI :
10.1109/WISA.2013.35
Filename :
6778626
Link To Document :
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