Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior

AbstractWe study continual learning for natural language instruction generation, by observing human users’ instruction execution. We focus on a collaborative scenario, where the system both acts and delegates tasks to human users using natural language. We compare user execution of g...

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Bibliographic Details
Main Authors: Noriyuki Kojima, Alane Suhr, Yoav Artzi
Format: Article
Language:English
Published: The MIT Press 2021-01-01
Series:Transactions of the Association for Computational Linguistics
Online Access:https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00428/108610/Continual-Learning-for-Grounded-Instruction