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

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 entityrelated 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.

• Type: Conference
• Year: 2008
• Where: ALPIT
• Authors: Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zhu, Peide Qian
• Keywords: ALPIT 2008, Dynamic Relation Tree, Internet Technology, Kernel-based Semantic Relation, Syntactic Parse Tree