At the CoNLL shared task 2016, Stepanov and Riccardi (2016) reported the best scores for argument extraction with F-measures of 49.64% for Arg1 and 76.51% for Arg2.
as shown in Table 7, the scores for connective identification are not as high as achieved with a specialized model (as in the baseline).