Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Peoples R China.
语种：
英文
关键词：
Artificial intelligence;Computer science;Computers;Correlation methods;Classic algorithm;Concept description;HowNet;nocv1;Pearson correlation coefficients;Popular platform;Similarity algorithm;Similarity evaluation;Words similarity;Correlation methods;Natural language processing systems
期刊：
Lecture Notes in Computer Science
ISSN：
0302-9743
年：
2016
卷：
10102
页码：
549-558
会议名称：
5th International Conference on Natural Language Processing and Chinese Computing (NLPCC) / 24th International Conference on Computer Processing of Oriental Languages (ICCPOL)
会议论文集名称：
Lecture Notes in Computer Science
会议时间：
DEC 02-06, 2016
会议地点：
Kunming Univ Sci & Technol, Kunming, PEOPLES R CHINA
会议主办单位：
Kunming Univ Sci & Technol
会议赞助商：
China Comp Federat, State Key Lab Digital Publishing, Microsoft Res Asia, DeepShare, Baidu Inc, GridSum, Sogou Inc, RSVP Technologies Inc, NiuTrans, Asian Federat Nat Language Proc, Chinese & Oriental Language Comp Soc
This research work is supported by National Science Foundation of China (No. 61402220, No. 61502221), the Scientific Research Fund of Hunan Provincial Education Department (No. 14B153, No. 16C1378, No. 15C1186), the Philosophy and Social Science Foundation of Hunan Province (No. 14YBA335).
机构署名：
本校为第一且通讯机构
院系归属：
计算机科学与技术学院
摘要：
“HowNet” is a popular platform of Chinese text similarity calculation. The study has found that there is still some short-comings about the effect of “HowNet” architecture, the organization of vocabulary, concept description on word similarity measurement. In hence, on the basis of analyzing the generality and individuality of words in “HowNet”, a similarity algorithm based on the generality and individuality of words is proposed. Furthermore, experimental data is from NLPCC-ICCPOL 2016 Chinese words similarity evaluation task data set. E...
