Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora

10 Jun 2016Lidong BingBhuwan DhingraKathryn MazaitisJong Hyuk ParkWilliam W. Cohen

We propose a framework to improve performance of distantly-supervised relation extraction, by jointly learning to solve two related tasks: concept-instance extraction and relation extraction. We combine this with a novel use of document structure: in some small, well-structured corpora, sections can be identified that correspond to relation arguments, and distantly-labeled examples from such sections tend to have good precision... (read more)

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