Abstract
Hyponymy is used to build a taxonomic hierarchy. But the terms in hyponymy may have multiple senses. It will cause the problem of polysemy and affect the building of taxonomic hierarchy. In order to solve the problem, we present a method of sense recognition of hyponymy based on vector space model. Firstly we acquire the contexts of hyponymy from Chinese free corpus. Secondly we use Cilin to construct a relation-word vector space. Then we use latent semantic analysis to reduce the dimension of the vector space. In the final phase, we recognize the senses of hyponymy using average-group clustering. Experimental results show that the method can provide adequate discrimination of the different senses.
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References
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th International Conference on Computational Linguistics, Nantes, France, pp. 539–545 (1992)
Rydin, S.: Building a Hyponymy Lexicon with Hierarchical Structure. In: Proceedings of the SIGLEX Workshop on Unsupervised Lexical Acquisition (2002)
Miura, K., Tsuruoka, Y., Tsujii, J.: Automatic acquisition of concept relations from web documents with sense clustering. In: IJCNLP 2004 Interactive Poster/Demo, pp. 37–40 (2004)
Purandare, A., Pedersen, T.: SenseClusters - Finding Clusters that Represent Word Senses. In: AAAI 2004, pp. 1030–1031 (2004)
McRoy, S.W.: Using multiple knowledge sources for word sense discrimination. Association for Computational Linguistics 18(1), 1–30 (1992)
Schutze, H.: Automatic Word Sense Discrimination. Association for Computational Linguistics 24(1), 97–123 (1998)
Mei, J.J., Zhu, Y.M., Gao, Y.Q., Yin, H.X.: Tongyici Cilin(Dictionary of Synonymous Words). Shanghai Cishu Publisher, China (1983)
Chen, K.-J., You, J.-M.: A Study on Word Similarity using Context Vector Models. Computational Linguistics and Chinese Language Processing 7(2), 37–58 (2002)
Karov, Y., Edelman, S.: Similarity- based word sense disambiguation. Computational Linguistics 24(1) (1998)
Liu, L., Cao, C., Wang, H.: Acquiring Hyponymy Relations from Large Chinese Corpus. Wseas Transactions on Business and Economics 4(2) (2005)
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© 2008 Springer-Verlag Berlin Heidelberg
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Liu, L., Zhang, S., Diao, L.H., Yan, S.Y., Cao, C.G. (2008). Using Sense Recognition to Resolve the Problem of Polysemy in Building a Taxonomic Hierarchy. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85563-7_68
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DOI: https://doi.org/10.1007/978-3-540-85563-7_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85562-0
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