In recent years, the fields of machine learning and NLP have seen an renewed interest in incorporating natural language supervision in models of machine intelligence (Narasimhan et al., 2015;Elhoseiny et al., 2013;Goldwasser and Roth, 2014;Fried et al., 2018;Wang et al., 2016).
methods such as Bab-bleLabble (Hancock et al., 2018) and LNL (Srivastava et al., 2017) show progress towards realistic Figure 1: Question-Answer dialog can enable learning from a mix of strategies, including label observations (traditional supervised learning), explanations and clarifications (to overcome parsing limitations).