Extracting and Verifying Hyponymy Relations Based on Multiple Patterns and Features

Authors:
Lei Liu;Sen Zhang;Lu Hong Diao;Shu Ying Yan;Cun Gen Cao
Affiliations:
College of Applied Sciences, Beijing University of Technology,;College of Applied Sciences, Beijing University of Technology,;College of Applied Sciences, Beijing University of Technology,;Institute of Computing Technology, Chinese Academy of Sciences,;Institute of Computing Technology, Chinese Academy of Sciences,
Venue:
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Year:
2008

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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.