CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant

Kavya Srinet, Yacine Jernite, Jonathan Gray, arthur szlam
2020 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics   unpublished
We propose a semantic parsing dataset focused on instruction-driven communication with an agent in the game Minecraft 1 . The dataset consists of 7K human utterances and their corresponding parses. Given proper world state, the parses can be interpreted and executed in game. We report the performance of baseline models, and analyze their successes and failures. * Equal contribution † Work done while at Facebook AI Research 1 Minecraft features: c Mojang Synergies AB included courtesy of Mojang AB
doi:10.18653/v1/2020.acl-main.427 fatcat:3rtsxxmfd5elfi76ctxlmxghja