The obtained F β=1 results demonstrated that semantic roles are useful to recognize (81.43%) and classify (64.20%) TimeML events, improving the presented baseline by 19% for recognition and 30% for classification.
semantic roles employed as additional feature improved the recall of the non-roles version by 6% and 10% for recognition and classification respectively.