An Imitation Game for Learning Semantic Parsers from User Interaction
November 16, 2020 By: Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su Abstract Despite the widely successful applications, building a semantic parser is still a tedious process in practice with challenges from costly data annotation and privacy risks. We suggest an alternative, human-in-the-loop methodology for learning semantic parsers directly from users. A semantic parser should be introspective of its uncertainties and prompt for user demonstrations when uncertain. In doing so it also gets to imitate the user behavior […]
Read more