Papazov, StefanGill, WesleyFerreiro, Marta GarciaZhu, AndrewMartin, Lara J.Callison-Burch, Chris2024-03-042024-03-042022-07-05http://hdl.handle.net/11603/31771Dungeons and Dragons is a popular tabletop role-playing game that has been adapted to online play. In this paper, we look at enhancing a Discord Bot called Avrae that is developed by D&D Beyond to help with online play. Avrae enables users to manage gameplay through Unix-like commands. We explore using language models to automatically translate player dialogue into Avrae's commands. We use GPT-3's few shot learning and fine tuning capabilities and achieve 64% accuracy. We also explore the reverse direction, where commands are rendered as descriptive text, suggesting that it may eventually be possible to combine Avrae and LMs to create a system that is capable of role-playing alongside players.11 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Using Language Models to Convert Between Natural Language and Game CommandsText