To evaluate the performance of classifiers, we measure the standard classification accuracy where accuracy is defined as in equation 2 To measure how well the classifier does on each class respectively, we compute precision, recall, and F-measure, which are defined respectively in equation 3, (4) and 5  The evaluation is carried on the collapsed tense taxonomy that consists of three tense classes: present, past and future.
while there is certainly room for improvement, the tagging performance of our algorithm is quite promising.