@inproceedings{4272b0e28f524aba99b94047dade8268,
title = "Graph-based named entity linking with Wikipedia",
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.",
keywords = "entity resolution, integration, text mining, web intelligence, Wikipedia",
author = "Ben Hachey and Will Radford and Curran, {James R.}",
year = "2011",
doi = "10.1007/978-3-642-24434-6_16",
language = "English",
isbn = "9783642244339",
volume = "6997 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "213--226",
editor = "Athman Bouguettaya and Manfred Hauswirth and Ling Liu",
booktitle = "Web Information System Engineering, WISE 2011 - 12th International Conference, Proceedings",
note = "12th International Conference on Web Information System Engineering, WISE 2011 ; Conference date: 13-10-2011 Through 14-10-2011",
}