Perhaps the discrepancy (especially for the F l 8 9 G 6 E class) reflects differences in the way the training data was annotated; F l 8 9 G 6 E is a highly heterogenous class, and the criteria for distinguishing between  The models described here are very simple and efficient, depend on no preprocessing or (with the exception of s w v ¦ ) external databases, and yet provide a dramatic improvement over a baseline model.
the performance is still quite a bit lower than results for industrial-strength language-specific named entity recognition systems.