Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics

An Improved Method of Computing Chinese Sentence Similarity

Authors
Lu Wang, Zhongshi He
Corresponding Author
Lu Wang
Available Online September 2015.
DOI
10.2991/icicci-15.2015.7How to use a DOI?
Keywords
Keywords-Sentence Similarity; HowNet; CiLin; Tree Kernel; Maximum Weight Matching
Abstract

Abstract—The Chinese sentence similarity has been used widely in the field of Chinese information processing. There are many methods proposed to measure the similarity of Chinese sentences, but the accuracy of these methods is still lower. In order to improve this problem, this paper proposes an improved method to compute the similarity of Chinese sentences based on predecessors' research. The method proposed not only takes into account semantic meaning of sentences based on HowNet, CiLin and Maximum Weight Matching, but also considers the syntactic information based on tree kernel algorithm. Meanwhile, some special cases, such as antonym, double negation, are also considered. Experiments show that this improved method has relatively higher accuracy in Chinese sentence similarity computation.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
Series
Advances in Intelligent Systems Research
Publication Date
September 2015
ISBN
10.2991/icicci-15.2015.7
ISSN
1951-6851
DOI
10.2991/icicci-15.2015.7How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lu Wang
AU  - Zhongshi He
PY  - 2015/09
DA  - 2015/09
TI  - An Improved Method of Computing Chinese Sentence Similarity
BT  - Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
PB  - Atlantis Press
SP  - 29
EP  - 33
SN  - 1951-6851
UR  - https://doi.org/10.2991/icicci-15.2015.7
DO  - 10.2991/icicci-15.2015.7
ID  - Wang2015/09
ER  -