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Extracting and Verifying Hyponymy Relations Based on Multiple Patterns and Features

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KI 2008: Advances in Artificial Intelligence (KI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5243))

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Abstract

Hyponymy relations play a crucial role in various natural language processing systems. Automatic acquisition and verification of hyponymy relations is a basic problem in knowledge acquisition from text. We present a method that acquires and verifies hyponymy relations based on multiple patterns and features. It initially obtains a set of removable patterns using Chinese lexico-syntactic patterns. Then the concepts of constituting hyponymy relation are acquired with removable patterns. Finally, hyponymy relations are verified with space structure features, semantic features and context features. Experimental results demonstrate good performance of the method.

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Andreas R. Dengel Karsten Berns Thomas M. Breuel Frank Bomarius Thomas R. Roth-Berghofer

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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). Extracting and Verifying Hyponymy Relations Based on Multiple Patterns and Features. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_28

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  • DOI: https://doi.org/10.1007/978-3-540-85845-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85844-7

  • Online ISBN: 978-3-540-85845-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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