Abstract
Discourse relation is an important content of discourse semantic analysis, and the study of punctuation is of importance for discourse relation. In this paper, we propose a method of Chinese comma classification based on maximum entropy (ME). This method classifies the sentence relation based on comma with ME by extracting rich linguistic features before and after the commas in sentences. Experimental results show that this method of sentence relation based on comma is feasible.
Cite
CITATION STYLE
Li, X., Yang, H., & Huang, J. P. (2014). Maximum Entropy for Chinese Comma Classification with Rich Linguistic Features. In CLP 2014 - 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing (pp. 11–17). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-6804
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