Paper: Open Information Extraction with Tree Kernels

ACL ID N13-1107
Title Open Information Extraction with Tree Kernels
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013

Traditional relation extraction seeks to iden- tify pre-specified semantic relations within natural language text, while open Information Extraction (Open IE) takes a more general ap- proach, and looks for a variety of relations without restriction to a fixed relation set. With this generalization comes the question, what is a relation? For example, should the more general task be restricted to relations medi- ated by verbs, nouns, or both? To help answer this question, we propose two levels of sub- tasks for Open IE. One task is to determine if a sentence potentially contains a relation be- tween two entities? The other task looks to confirm explicit relation words for two enti- ties. We propose multiple SVM models with dependency tree kernels for both tasks. For explicit relation extract...