We also show that exploiting syntactic information of the sentence containing the relational expressions is not trivial.
results on two data sets-Machine reading and TimeBank-with 3-fold crossvalidation show that the combination of traditional feature vectors and the new structural features improves on the state of the art for inter-sentence TErE by about 20%, achieving a 30.2 F1 score on intersentence TErE alone, and 47.2 F1 for all TErE (inter and intra sentence combined).