A comparison of tagging strategies for statistical information extraction

Authors:
Christian Siefkes
Affiliations:
Freie Universität Berlin, Berlin, Germany
Venue:
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Year:
2006

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Abstract

There are several approaches that model information extraction as a token classification task, using various tagging strategies to combine multiple tokens. We describe the tagging strategies that can be found in the literature and evaluate their relative performances. We also introduce a new strategy, called Begin/After tagging or BIA, and show that it is competitive to the best other strategies.