Abstract
Lexical semantic information plays an important role in semantic relation extraction between named entities. This paper incorporates two kinds of lexical semantic similarity measures, thesaurus-based and corpus-based, into convolution tree kernels and systematically investigates their effects on Chinese relation extraction. The experiments on the ACE2005 Chinese corpus shows that the incorporation of lexical semantic similarity into tree kernel-based Chinese relation extraction can significantly improve the extraction performance when entity types are unknown, while in the case of known entity types, these lexical similarity measures also enhance the extraction performance for some person-related relationships. This demonstrates the usefulness of lexical semantic similarity in Chinese relation extraction.
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References
Zhou, G.D., Su, J., Zhang, J., Zhang, M.: Exploring Various Knowledge in Relation Extraction. In: ACL 2005, pp. 427–434 (2005)
Zhou, G.D., Su, J., et al.: Modeling Commonality among Related Classes in Relation Extraction. In: COLING-ACL 2006, pp. 121–128 (2006)
Zhou, G.D., Zhang, M.: Extracting Relation Information from Text Documents by Exploring Various Types of Knowledge. Information Processing and Management 43, 969–982 (2007)
Zhang, M., Zhang, J., Su, J., Zhou, G.D.: A Composite Kernel to Extract Relations between Entities with both Flat and Structured Features. In: COLING-ACL 2006, pp. 825–832 (2006)
Zhang, M., Zhou, G.D.: Exploring Syntactic Structured Features over Parse Trees for Relation Extraction Using Kernel Methods. Information Processing and Management 44, 687–701 (2008)
Zhou, G.D., Zhang, M., Ji, D.H., Zhu, Q.M.: Tree Kernel-based Relation Extraction with Context-Sensitive Structured Parse Tree Information. In: EMNLP/CoNLL 2007, pp. 728–736 (2007)
Zhou, G.D., Qian, L.H., Fan, J.X.: Tree kernel-based Semantic Relation Extraction with Rich Syntactic and Semantic Information. Information Sciences 18(8), 1313–1325 (2010)
Qian, L.H., Zhou, G.D., Kong, F., Zhu, Q.M., Qian, P.D.: Exploiting Constituent Dependen-cies for Tree Kernel-based Semantic Relation Extraction. In: COLING 2008, Manchester, pp. 697–704 (2008)
Zhuang, C.L., Qian, L.H., Zhou, G.D.: Research on Tree Kernel-Based Entity Semantic Relation Extraction. Journal of Chinese Information 23(1), 3–9 (2009) (in Chinese)
Che, W.X., Liu, T., Li, S.: Automatic Entity Relation Extraction 19(2), 1–6 (2005)
Dong, J., Sun, L., Feng, Y.Y., Huang, R.H.: Chinese Automatic Entity Relation Extraction. Journal of Chinese Information 21(4), 80–85, 91 (2007) (in Chinese)
Li, W.J., Zhang, P., Wei, F.R., Hou, Y.X., Lu, Q.: A Novel Feature-based Approach to Chinese Entity Relation Extraction. In: ACL 2008, pp. 89–92 (2008)
Che, W.X., Jiang, J., Su, Z., Pan, Y., Liu, T.: Improved-Edit-Distance Kernel for Chinese Relation Extraction. In: IJCNLP 2005, pp. 132–137 (2005)
Liu, K.B., Li, F., Liu, L., Han, Y.: Implementation of a Kernel-Based Chinese Relation Extraction System. Computer Research and Development 44(8), 1406–1411 (2007) (in Chinese)
Huang, R.H., Sun, L., Feng, Y.Y., Huang, Y.P.: A Study on Kernel-based Chinese Relation Extraction. Journal of Chinese Information 22(5), 102–108 (2008) (in Chinese)
Yu, H.H., Qian, L.H., Zhou, G.D., Zhu, Q.M.: Chinese Semantic Relation Extraction Based on Unified Syntactic and Entity Semantic Tree. Journal of Chinese Information 24(5), 17–23 (2010) (in Chinese)
Qian, L.H., Zhou, G.D., Zhu, Q.M.: Employing Constituent Dependency Information for Tree Kernel-based Semantic Relation Extraction between Named Entities. ACM Transaction on Asian Language Information Processing 10(3), Article 15, 24 (2011)
Collins, M., Duffy, N.: Covolution Tree Kernels for Natural Language. In: NIPS 2001, pp. 625–632 (2001)
Bloehdorn, S., Moschitti, A.: Exploiting Structure and Semantics for Expressive Text Kernels. In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, Lisbon, Portugal (2007)
Mei, J.J., Zhu, Y.M., Gao, Y.Q., Yin, H.X.: TongYiCi CiLin, 2nd edn. Shanghai Lexicographic Publishing House, Shanghai (1996) (in Chinese)
Liu, Q., Li, S.J.: Word Similarity Computing Based on How-net. Computational Linguistics. Chinese Information Processing, 59–76 (2002)
Lin, D.K., Pantel, P.: Concept Discovery from Text. In: COLING 2002, pp. 42–48 (2002)
Charniak, E.: Immediate-head Parsing for Language Models. In: ACL 2001 (2001)
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Liu, D., Zhao, Z., Hu, Y., Qian, L. (2013). Incorporating Lexical Semantic Similarity to Tree Kernel-Based Chinese Relation Extraction. In: Ji, D., Xiao, G. (eds) Chinese Lexical Semantics. CLSW 2012. Lecture Notes in Computer Science(), vol 7717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36337-5_2
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DOI: https://doi.org/10.1007/978-3-642-36337-5_2
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