Paper: Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information

ACL ID D07-1076
Title Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

This paper proposes a tree kernel with context- sensitive structured parse tree information for re- lation extraction. It resolves two critical problems in previous tree kernels for relation extraction in two ways. First, it automatically determines a dy- namic context-sensitive tree span for relation ex- traction by extending the widely -used Shortest Path-enclosed Tree (SPT) to include necessary context information outside SPT. Second, it pro- poses a context-sensitive convolution tree kernel, which enumerates both context-free and context- sensitive sub-trees by considering their ancestor node paths as their contexts. Moreover, this paper evaluates the complementary nature between our tree kernel and a state-of-the-art linear kernel. Evaluation on the ACE RDC corpora shows that our dyna...