Abstract
We present a method of dependency structure analysis for Chinese. The method is a variant of Yamada’s work (Yamada, 2003) originally proposed for English parsing. Our bottom-up parsing algorithm deterministically constructs a dependency structure for an input sentence. Support Vector Machines (SVMs) are utilized to determine the word dependency relations. Experimental evaluations on the CKIP Corpus show that the method is quite accurate on Chinese documents in several domains.
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© 2005 Springer-Verlag Berlin Heidelberg
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Cheng, Y., Asahara, M., Matsumoto, Y. (2005). Deterministic Dependency Structure Analyzer for Chinese. In: Su, KY., Tsujii, J., Lee, JH., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2004. IJCNLP 2004. Lecture Notes in Computer Science(), vol 3248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30211-7_53
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DOI: https://doi.org/10.1007/978-3-540-30211-7_53
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