A Comparison of Tagging Strategies for Statistical Information Extraction 
 
 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.  