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An Imitation Game for Learning Semantic Parsers from User Interaction
[article]
2020
arXiv
pre-print
Despite the widely successful applications, bootstrapping and fine-tuning semantic parsers are still a tedious process with challenges such as costly data annotation and privacy risks. In this paper, 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 demonstration when uncertain. In doing so it also gets to imitate the user behavior and continue improving
arXiv:2005.00689v3
fatcat:x5wymysld5am7itpnyevorhx7e