Let us look first at the results without applying recall-boosting post-classification heuristics: The performance of our models decreases in the MSR-NLP corpus after a few iterations (our best model is reached at iteration 23, where F=76.23), and this situation is unsurprisingly aggravated by the feature update step.
our results improve significantly in the W00 dataset 6 after feature updating.