Subsequence Kernels for Relation Extraction (2006)
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.
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Citation:
In Submitted to the Ninth Conference on Natural Language Learning (CoNLL-2005), Ann Arbor, MI, July 2006. Available at url{http://www.cs.utexas.edu/users/ml/publication/ie.html}.
Bibtex:

Razvan Bunescu Ph.D. Alumni bunescu [at] ohio edu
Raymond J. Mooney Faculty mooney [at] cs utexas edu