Second, existing approaches have focused on using language either as a standalone replacement for labeled data (Hancock et al., 2018), or to drive learning such as through specifying features for learning tasks (Eisenstein et al., 2009).
many realistic scenarios of learning from language would involve not learning from language alone, but learning from a mix of supervision, including both traditional labeled data, and natural language advice.