Abstract
The key problem of supervising word sense disambiguation is the lack of a large-scale and high-quality corpus of word sense tagging. Based on the Contemporary Chinese Semantic Dictionary, the Modern Chinese Dictionary (5th Edition) and the Chinese Lexical Semantic Knowledge Base, this paper analyzes the adjectives, nouns and verbs with polysemic in the dictionaries and fuses them together to construct the Zhengzhou University Contemporary Chinese Semantic Dictionary. People’s Daily corpus is selected for annotation, and the word sense tagging corpus with 1.87 million words is constructed. It is expected to provide better data support for natural language processing tasks such as semantic automatic analysis and word sense disambiguation. This paper presents a detailed and rigorous specification of word sense tagging in the process of annotation. In addition, in the new domain corpus, the automatic annotation method achieved excellent performance, which can be used for subsequent reference.
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Zan, H., Chen, J., Cheng, X., Mu, L. (2018). Construction of Word Sense Tagging Corpus. In: Hong, JF., Su, Q., Wu, JS. (eds) Chinese Lexical Semantics. CLSW 2018. Lecture Notes in Computer Science(), vol 11173. Springer, Cham. https://doi.org/10.1007/978-3-030-04015-4_59
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