Abstract
At present, many scholars have studied the semantic relations mining in social tags based on WordNet—an English semantic dictionary and have made some progress. There have been few studies to combine modern Chinese semantic dictionary and social tags. The paper selects tag data from Dòubàn Reading first, then uses the classification and coding system of A Thesaurus of Modern Chinese(TMC), calculates the semantic similarity of tag data and mines the semantic relations in social tags by WordSimilarity—a lexical semantic similarity computing system. The results obtained with this method, not so different from the way we think of lexical semantic relations, have a higher accuracy.
Supported by the National Language Committee of China (Grant No. YB125-170).
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Yu, J. (2018). Semantic Relations Mining in Social Tags Based on a Modern Chinese Semantic Dictionary. In: Wu, Y., Hong, JF., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2017. Lecture Notes in Computer Science(), vol 10709. Springer, Cham. https://doi.org/10.1007/978-3-319-73573-3_28
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DOI: https://doi.org/10.1007/978-3-319-73573-3_28
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