@inproceedings{760617b40f88455990c5f68835452157,
title = "A feature optimization algorithm of concept similarity based on Chinese wikipedia",
abstract = "Concept similarity measure based on feature vector has wide application in various fields, but the problems of polysemy and synonym existing in feature vector affect the similarity measure. We present a feature optimization algorithm based on Chinese Wikipedia which can reduces this effect. First we build a POS feature dictionary (POS-Dic) and a POS Tongyici Cilin(POS-Cilin), and then a new feature vector is used for concept similarity measure. Experiments show that the algorithm effectively reduces the influence of polysemy and synonym on the concept similarity measure.",
keywords = "feature vector, polysemy, similarity, synonym",
author = "Xiaofei Chang and Lei Liu and Mengtao Sun and Yalu Jia and Chunxia Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017 ; Conference date: 29-07-2017 Through 31-07-2017",
year = "2018",
month = jun,
day = "21",
doi = "10.1109/FSKD.2017.8393108",
language = "English",
series = "ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2174--2179",
editor = "Liang Zhao and Lipo Wang and Guoyong Cai and Kenli Li and Yong Liu and Guoqing Xiao",
booktitle = "ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
address = "United States",
}