This paper proposes a hierarchical model to parse both English and Chinese sentences. This is done by iteratively constructing simple constituents first, so that complex ones could be detected reliably with richer contextual information in the following processes. Evaluation on the Penn WSJ Treebank and the Penn Chinese Treebank using maximum entropy models shows that our method can achieve a good performance with more flexibility for future improvement. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Li, J., Zhou, G., Zhu, Q., & Qian, P. (2008). Syntactic parsing with hierarchical modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4993 LNCS, pp. 561–566). https://doi.org/10.1007/978-3-540-68636-1_64
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