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Tree Kernel-Based Semantic Relation Extraction Using Unified Dynamic Relation Tree

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5 Author(s)
Longhua Qian ; Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou ; Guodong Zhou ; Fang Kong ; Qiaomin Zhu
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This paper proposes a unified dynamic relation tree (DRT) span for tree kernel-based semantic relation extraction between entity names. The basic idea is to apply a variety of linguistics-driven rules to dynamically prune out noisy information from a syntactic parse tree and include necessary contextual information. In addition, different kinds of entity-related semantic information are unified into the syntactic parse tree. Evaluation on the ACE RDC 2004 corpus shows that the unified DRT span outperforms other widely-used tree spans, and our system achieves comparable performance with the state-of-the-art kernel-based ones. This indicates that our method can not only well model the structured syntactic information but also effectively capture entity-related semantic information.

Published in:

Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on

Date of Conference:

23-25 July 2008

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