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Chinese Dependency Parsing Based on Treebank |
LIU Hai-Tao, ZHAO Yi-Yi |
Institute of Applied Linguistics, Communication University of China, Beijing 100024 |
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Abstract Aiming at exploring the possibility of increasing the parsing accuracy by linguistic means, an experiment of Chinese dependency parsing is conducted by using MaltParser and a self-built treebank. Through the detailed analysis for the parsing results, the possible suggestion about improving the performance of the parser is provided and it is used as the guidance to modify the annotation scheme of the treebank. Experimental results show that the accuracy of unlabeled dependency attachment score increases 5.5%, and the accuracy of labeled score raises 7.5%.
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Received: 21 February 2008
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