The performance improvement of the TIPSemIT FPC5Sem with respect to the other models is due to the contribution of the event lexicon.
we register an improvement in the classification of less frequent classes in the data such as I STATE (52% vs. 73%), ASPECTUAL (41% vs. 65%) and RE-PORTING (53% vs. 68%), with the exception of I ACTION.