Acquiring ISA Relations from Chinese Free Text Based on Multiple Patterns

Authors:
Lei Liu;Sen Zhang;Lu Hong Diao;Shu Ying Yan;Cun Gen Cao
Affiliations:
-;-;-;-;-
Venue:
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
Year:
2008

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Semantic separator learning and its applications in unsupervised Chinese text parsing

Frontiers of Computer Science: Selected Publications from Chinese Universities

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Abstract

Automatic acquisition of ISA relations is a basic problem in knowledge acquisition from text. We present a method that acquires and verifies ISA relations from large Chinese free text. It initially discovers a set of sentences using Chinese lexicosyntactic patterns. Then we combine outside layer removal and inside layer gathering for acquiring concepts of constituting ISA relation. Finally, ISA relations are verified with semantic features and context features. The experimental results show the efficiency of our method.