Abstract
Automatic error-detecting for Chinese text is one of the important issues in the field of Chinese Information Processing. The current study of text error-detecting focuses on words-level and syntactic-level, but semantic error-detecting has not got enough attention. For this reason, we studied semantic collocations of sentences, and built up a words dependency knowledge base; at meanwhile, combined with the description of concept of words in HowNet, we proposed a semantic error-detecting strategy for Chinese text. Experimental results show that this method has a better performance in semantic error-detecting.
This paper is funded by the Natural Science Foundation of China(NSFC, Grant No.61070119), the Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality(Grant No. IDHT20130519) and the Beijing Municipal Education Commission Special Fund (Grant No. PXM2012-014224-000020).
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Li, J., Zhang, Y., Zhu, J., Zhang, Z. (2013). Semantic Automatic Error-Detecting for Chinese Text Based on Semantic Dependency Relationship. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_43
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DOI: https://doi.org/10.1007/978-3-642-45185-0_43
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