2005 SubsequenceKernelsForRelationExtraction

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Subject Headings: Relation Extraction Algorithm, Subsequence Kernel.

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Cited By

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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.



 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2005 SubsequenceKernelsForRelationExtractionRazvan C. Bunescu
Raymond J. Mooney
Subsequence Kernels for Relation ExtractionProceedings of the 19th Conference on Neural Information Processing Systemhttp://books.nips.cc/papers/files/nips18/NIPS2005 0450.pdf2006