WS-260 is a Chinese gold standard word similarity dataset, similar to the English gold standard datasets like RG65, MA30, WordSimilarity353 and SimLex-999 and the Chinese gold standard datasets like WordSimilarity240 and WordSimilarity296. It is different from the previous ones in that it is constructed and validated using an interdisciplinary framework, which introduces methods from 3 different disciplines, i.e. psychology, brain science and computational linguistics to construct and validate the dataset.
When you use the dataset in your work, would you please cite the following papers:
[1] Yu Wan, Yidong Chen, Xiaodong Shi, Changle Zhou. Constructing and Validating Word Similarity Datasets by Integrating Methods from Psychology, Brain Science and Computational Linguistics. Soft Computing, 2018, 22(21): 6967-6979.
[2] Yu Wan, Yidong Chen, Xiaodong Shi, Guorong Cai, Libai Cai. A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets. In: Proceedings of the 17th Annual UK Workshop on Computational Intelligence (UKCI 2017), 2017.9.6-8, pp 37-48, Cardiff, UK, 2017.