CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant
Kavya Srinet | Yacine Jernite | Jonathan Gray | Arthur Szlam
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
We propose a semantic parsing dataset focused on instruction-driven communication with an agent in the game Minecraft. 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.