Open Access
| Issue |
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 8 | |
| Section | Smart Algorithms and Recognition | |
| DOI | https://doi.org/10.1051/matecconf/202030903004 | |
| Published online | 04 March 2020 | |
- Mei Lijun, Zhou Qiang, Qi Lu, Chen Zuyu. Research on Information Fusion of HowNet and CiLin. In Chinese Journal of Information. 2005.19(01)pp:63–70. [Google Scholar]
- Liu Qun, Li Sujian. Vocabulary semantic similarity calculation based on HowNet. In The 3rd Chinese Vocabulary Semantics Seminar. 2002. pp:59–76 [Google Scholar]
- Li Lei, Yang Lihua. Improved algorithm for semantic similarity of words based on HowNet. In Computer technology and development. 2019.29(04)pp:42–46. [Google Scholar]
- Zhu Xinhua, Ma Runcong, Sun Liu, Chen Hongchao. The semantic similarity calculation of words based on HowNet and CiLin. In Chinese Journal of Information. 2016. 30(04)pp:29–36 [CrossRef] [Google Scholar]
- Seco N, Veale T, Hayes J. An intrinsic information content metric for semantic similarity in WordNet. In Proc of Eureopean Conference on Artificial Intelligence. 2004.pp:1089–1090. [Google Scholar]
- Miller G A, Charles W G. Contextual correlates of semantic similarity. In Language Cognition & Neuroscience. 1991.6(1)pp:1–28. [Google Scholar]
- R ubenstein H, Goodenough J B. Contextual correlates of synonymy.In Communications of the ACM.8(10) 1965. pp:627–633. [Google Scholar]
- Tian Jiule, Zhao Wei. 2010. Method for calculating similarity of words based on CiLin. In Journal of Jilin University (Information Science Edition),28(06)pp:602–608. [Google Scholar]
- Chen Hongchao, Li Fei, Zhu Xinhua, Ma Runcong. Similarity Calculation of CiLin Based on Path and Depth. In Chinese Journal of Information. 2016.30(05)pp:80–88. [Google Scholar]
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