In this work we consider the case of correlated tasks, in the sense that knowing the labels for task A provides information on the expected label composition of task B.
neural Classifier Our classification model is a simple 1-layer BiLSTM encoder (a concatenation of the last states of a forward and a backward running LSTMs) followed by a linear-predictor.