Abstract
The semantic collocations play important roles in parsing Chinese phrases. They are useful for both semantic disambiguation and structural disambiguation. In this paper, a representation of phrase semantic rules for Chinese is presented to formulate such knowledge, and a corpus-based method was proposed to acquire phrase semantic rules from a Chinese phrase corpus annotated with syntactic and semantic information. The method includes a metarule-guided algorithm for mining cross-level association rules to acquire phrase semantic rules and an optimization algorithm to filter these rules. The experiment results showed the effectiveness of the method. Disambiguation performance of these resulting rules was quiet well.
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
Dong, Z.D., Dong, Q.: HowNet, http://www.keenage.com/zhiwang/e_zhiwang.html
Dong, Z.D., Dong, Q.: Introduction to HowNet - Chinese Message Structure Base, http://www.keenage.com/html/aboutMessage.html
Yu, S.W.: The Specification of the Phrase Structure Bank of Contemporary Chinese. Journal of Chinese Language and Computing 13, 215–226 (2003)
Zhan, W.D.: A Study of Constructing Rules of Phrases in Contemporary Chinese for Chinese Information Processing. Tinghua University Press, Beijing (2000)
Han, J.W., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2001)
Han, J.W., Fu, Y.: Discovery of Multiple-Level Association Rules from Large Databases. In: Proceedings of 21st International Conference on Very Large Data Bases, pp. 420–431. Morgan Kaufmann Publishers, Zurich (1995)
Ouyang, W.M., Cai, Q.S.: Meta-pattern Guided Discovery of Multiple-Level Association Rule in Large Databases. Journal of Software 12, 920–927 (1997)
Aggarwal, C.C., Sun, Z., Yu, P.S.: Online Generation of Profile Association Rules. In: Proceedings of the 14th International Conference on Knowledge Discovery and Data Mining, pp. 129–133. AAAI Press, Orlando (1998)
Aggarwal, C.C., Yu, P.S.: A New Approach to Online Generation of Association Rules. IEEE Transactions on Knowledge and Data Engineering 13, 527–540 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zheng, XL., Zhou, CL., Shi, XD., Li, TQ., Chen, YD. (2008). Automatic Acquisition of Phrase Semantic Rule for Chinese. 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_61
Download citation
DOI: https://doi.org/10.1007/978-3-540-68636-1_61
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)