They use Bi-LSTM on each sentence for automatic feature learning, and the extracted hidden features are shared by a sequential entity tagger and a shortest dependency path relation classifier.
while introducing shared parameters for joint entity recognition and relation extraction, they must still pipeline the entity mentions predicted by the tagger to form mention pairs for the relation classifier.