2005 SubsequenceKernelsForRelationExtraction
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- (Bunescu & Mooney, 2005) ⇒ Razvan C. Bunescu, and Raymond Mooney. (2006). “Subsequence Kernels for Relation Extraction.” In: Proceedings of the 19th Conference on Neural Information Processing Systems (NIPS 2005).
Subject Headings: Relation Extraction Algorithm, Subsequence Kernel.
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Abstract
We present a new kernel method for extracting semantic relations between entities in natural language text, based on a generalization of subsequence kernels. This kernel uses three types of subsequence patterns that are typically employed in natural language to assert relationships between two entities. Experiments on extracting protein interactions from biomedical corpora and top-level relations from newspaper corpora demonstrate the advantages of this approach.