Paper: Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction

ACL ID C08-1088
Title Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper proposes a new approach to dynamically determine the tree span for tree kernel-based semantic relation ex- traction. It exploits constituent dependen- cies to keep the nodes and their head children along the path connecting the two entities, while removing the noisy in- formation from the syntactic parse tree, eventually leading to a dynamic syntactic parse tree. This paper also explores entity features and their combined features in a unified parse and semantic tree, which in- tegrates both structured syntactic parse information and entity-related semantic information. Evaluation on the ACE RDC 2004 corpus shows that our dy- namic syntactic parse tree outperforms all previous tree spans, and the composite kernel combining this tree kernel with a linear state-of-th...