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
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;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709931