Abstract
Metaphor is a pervasive phenomenon in natural language. This paper focuses on metaphor identification. Based on the linguistic definition, an improved classification system of Chinese metaphors is presented, classifying metaphorical language into two categories: referential metaphor with ten subclasses and collocational metaphor with five subclasses. Furthermore, a novel pattern matching algorithm on dependency tree is proposed for detecting potential metaphor occurrences and two quantified measures, referential adaptability degree (RA) and colloactional adaptability degree (CA), are introduced for determining metaphor category. Finally, a computational model for Chinese metaphor identification and classification is developed.
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References
Lakoff, G., Johnson, M.: Metaphors We Live By. The University of Chicago Press, Chicago (1980)
Shutova, E.: Models of Metaphor in NLP. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, pp. 688–697 (2010)
Li, J., Yang, Y., Zhou, C.: An Embedded Tree Matching Algorithm based on Metaphorical Dependency Structure. In: Proceedings of 2007 International Conference on Convergence Information Technology, pp. 607–611. IEEE Press, Los Alamitos (2007)
Yang, Y., Zhou, C., Ding, X., Chen, J., Shi, X.: Metaphor Recognition: CHMETA, A Pattern-based System. Computational Intelligence 25, 265–301 (2009)
Tesnière, L.: Elements de Syntaxe Structurale. Klincksieck, Paris (1959)
Kübler, S., McDonald, R., Nivre, J.: Dependency Parsing. Morgan & Claypool (2009)
Goatly, A.: The Language of Metaphors. Routledge, London (1997)
Huang, X.: Research on Some Key Issues of Metaphor Computation (in Chinese). Ph.D. Dissertation, Zhejiang University, Hangzhou (2009)
Wang, Z.: Chinese Noun Phrase Metaphor Recognition(in Chinese). Ph.D Dissertation. Beijing University, Beijing, China (2006)
Wang, Z.M., Wang, H., Duan, H., Han, S., Yu, S.-W.: Chinese Noun Phrase Metaphor Recognition with Maximum Entropy Approach. In: Gelbukh, A. (ed.) CICLing 2006. LNCS, vol. 3878, pp. 235–244. Springer, Heidelberg (2006)
Mei, J., Zhu, Y., Gao, Y., Yin, H.: Tongyici Cilin (in Chinese). Shanghai Lexicographic Publishing House, Shanghai (1996)
HIT-IRLab: TongYiCi CiLin (Extended_Version) (2005), http://ir.hit.edu.cn/
Fass, D.: Met*: A Method for Discriminating Metonymy and Metaphor by Computer. Computational Linguistics 17, 49–90 (1991)
Fass, D., Wilks, Y.: Preference Semantics, Ill-Formedness, and Metaphor. American Journal of Computational Linguistics 9, 178–187 (1983)
Yang, Y., Li, J., Zhou, C., Huang, X.: Example-based Discovery of Unconventional Chinese Semantic Collocations. Computer Science 35, 195–197 (2008)
Li, J., Yang, Y., Zhou, C.: Corpus Designing and Constructing for Metaphor Computation. Mind and Computation 1, 142–146 (2007)
Liu, Q., Li, S.: Word Similarity Computing Based on How-net. International Journal of Computational Linguistics & Chinese Language Processing 7, 59–76 (2002)
Dong, Z., Dong, Q.: Hownet And the Computation of Meaning. World Scientific Publishing Company, Singapore (2006)
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Huang, X., Huang, H., Xu, C., Chen, W., Wang, R. (2011). A Novel Pattern Matching Method for Chinese Metaphor Identification and Classification. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23896-3_13
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DOI: https://doi.org/10.1007/978-3-642-23896-3_13
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