While SACNN can focus on important segments and gain local features, DepRNN helps to handle long-distance dependency between two entities based on the SDP as well as provide subject and object roles of two entities for the directional relation.
in this paper, we present a new model combining both CNNs and RNNs, exploiting the information from both the raw sequence and the SDP.