Abstract
Word similarity plays an important role in text classification, information retrieval, information extraction, machine translation etc. We treat extended Cilin as knowledge base, the shortest path of the two words in Cilin is the main factor, and the number of nodes in branch layer and the distance of the words in the layer are the correction factor. The results indicate the values of similarity we got are consistent with the value of Miller.
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CITATION STYLE
Wang, X., Wang, X., & Liu, Z. (2018). Cilin-Based Semantic Similarity Calculation of Chinese Words. In Advances in Intelligent Systems and Computing (Vol. 690, pp. 240–244). Springer Verlag. https://doi.org/10.1007/978-3-319-65978-7_37
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