Graph-based named entity linking with wikipedia

Authors:
Ben Hachey;Will Radford;James R. Curran
Affiliations:
Department of Computing, Macquarie University, NSW, Australia and Capital Markets CRC, NSW, Australia;Capital Markets CRC, NSW, Australia and School of Information Technologies, University of Sydney, NSW, Australia;Capital Markets CRC, NSW, Australia and School of Information Technologies, University of Sydney, NSW, Australia
Venue:
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Year:
2011

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Abstract

Named entity linking (NEL) grounds entity mentions to their corresponding Wikipedia article. State-of-the-art supervised NEL systems use features over the rich Wikipedia document and link-graph structure. Graph-based measures have been effective over WordNet for word sense disambiguation (WSD). We draw parallels between NEL and WSD, motivating our unsupervised NEL approach that exploits the Wikipedia article and category link graphs. Our system achieves 85.5% accuracy on the TAC 2010 shared task -- competitive with the best supervised and unsupervised systems.