Subsequence Kernels for Relation Extraction

NeurIPS 2005 pp. 171-178

/neurips/2005/mooney2005neurips-subsequence/

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.

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Cite

Text

Mooney and Bunescu. "Subsequence Kernels for Relation Extraction." Neural Information Processing Systems, 2005.

Markdown

[Mooney and Bunescu. "Subsequence Kernels for Relation Extraction." Neural Information Processing Systems, 2005.](https://mlanthology.org/neurips/2005/mooney2005neurips-subsequence/)

BibTeX

@inproceedings{mooney2005neurips-subsequence,
  title     = {{Subsequence Kernels for Relation Extraction}},
  author    = {Mooney, Raymond J. and Bunescu, Razvan C.},
  booktitle = {Neural Information Processing Systems},
  year      = {2005},
  pages     = {171-178},
  url       = {https://mlanthology.org/neurips/2005/mooney2005neurips-subsequence/}
}