Abstract
As a kind of semantic knowledge of words, abstractness shows the degree of abstraction of a concept. There are many databases rating the concreteness of English words; however, there is only a small amount of research on analyzing the abstractness (or concreteness) of Chinese concepts. In this paper, abstractness ratings are presented for Chinese concepts. Our method is semi-supervised. Concrete and abstract paradigm words are pre-built. The degree of abstractness is calculated by analyzing the semantic similarity of a word with two paradigms. This method also intuitively classifies the concepts into abstract or concrete categories, based on their abstract ratings. Experimental results are reasonable and in line with our cognition.
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Notes
- 1.
A Chinese corpus. URL: www.duzhe.com.
- 2.
A word segmentation tool of NLP Lab of Xiamen University.
- 3.
An online dictionary of Chinese concept. URL: https://pinyin.sogou.com/dict/.
- 4.
A large lexical database. URL: https://wordnet.princeton.edu/.
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Wang, X., Su, C., Chen, Y. (2019). A Method of Abstractness Ratings for Chinese Concepts. In: Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C., McGinnity, M. (eds) Advances in Computational Intelligence Systems. UKCI 2018. Advances in Intelligent Systems and Computing, vol 840. Springer, Cham. https://doi.org/10.1007/978-3-319-97982-3_18
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