The unsupervised setting is important in itself, and the development of these methods arguably provides interesting insights into modeling implicit supervision signals present in unlabeled data.
given that small amounts of labeled data are often easy to obtain, it is surprising that no previous work that we are aware of looked into integration of labeled data into unsupervised SRL systems.