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Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model

Yue Zhang and Stephen Clark

11th International Conference on Parsing Technology (IWPT 2009)
Paris, France, 7th-9th October, 2009


Summary

Transition-based approaches have shown competitive performance on constituent and dependency parsing of Chinese. State-of-the-art accuracies have been achieved by a deterministic shift-reduce parsing model on parsing the Chinese Treebank 2 data (Wang et al., 2006). In this paper, we propose a global discriminative model based on the shift-reduce parsing process, combined with a beam-search decoder, obtaining competitive accuracies on CTB2. We also report the performance of the parser on CTB5 data, obtaining the highest scores in the literature for a dependency-based evaluation.


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