Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bikel, D.M., Chiang, D.: Two statistical parsing models applied to the Chinese Treebank. In: Proceedings of 2nd Chinese Language Processing Workshop (2000)
Charniak, E.: Statistical parsing with a context-free grammar and word statistics. In: Proceedings of AAAI 1997 (1997)
Chiang, D., Bikel, D.M.: Recovering latent information in treebanks. In: Proceedings of COLING 2002, pp. 183–189 (2002)
Collins, M.: 1999. Head-driven statistical model for natural language parsing [D]. Ph. D. Thesis, the University of Pennsylvania (1999)
Levy, R., Manning, C.: Is it harder to parse Chinese, or the Chinese Treebank? In: Dignum, F.P.M. (ed.) ACL 2003. LNCS (LNAI), vol. 2922, Springer, Heidelberg (2004)
Magerman, D.M.: Statistical decision-tree models for parsing. In: Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (1995)
Ratnaparkhi, A.: Learning to parse natural language with maximum entropy models. Machine Learning 341(2/3), 151–176 (1999)
Xiong, D., Li, S.L., Liu, Q., et al.: Parsing the Penn Chinese treebank with semantic knowledge. In: Proceedings of the 2nd IJCNLP, pp. 70–81 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, J., Zhou, G., Zhu, Q., Qian, P. (2008). Syntactic Parsing with Hierarchical Modeling. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_64
Download citation
DOI: https://doi.org/10.1007/978-3-540-68636-1_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68633-0
Online ISBN: 978-3-540-68636-1
eBook Packages: Computer ScienceComputer Science (R0)