DocumentCode
2475284
Title
Chinese sentence similarity research based on semantic string
Author
Yong-Liang Pei ; Gu, Xiao-Feng
Author_Institution
Sch. of Software Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
413
Lastpage
416
Abstract
The computation of Chinese sentence similarity has been widely used in many areas. However, due to the complexity of Chinese, currently, there have no corresponding algorithms to solve computation of sentence similarity at home and abroad. This paper represents an improved method of the computation of words similarity firstly, and then on this basis, the structure of semantic string has been given and calculating the impact factor of semantic string, lastly, the improved algorithm of computation of sentence similarity has been presented based on it. The experiment of a certain data sets shows that the improved algorithm is effective.
Keywords
natural language processing; Chinese sentence similarity research; impact factor; semantic string; Current measurement; Educational institutions; Medical services; Semantics; USA Councils; HowNet; NLP; Tracking; artificially intelligence; semantic string; sentence similarity; word similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8025-8
Type
conf
DOI
10.1109/ICACIA.2010.5709931
Filename
5709931
Link To Document