As expected, our weakly supervised approach does not outperform the fully supervised (*-Gold) models.
our student model is an embedding-based neural network: a segment is first embedded (h i = EMB(s i ) ∈ R d ) and then classified to the K aspects (p i = CLF(h i )) (see Section 2.1).