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...
Main Authors: | Noriyuki Kojima, Alane Suhr, Yoav Artzi |
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Format: | Article |
Language: | English |
Published: |
The MIT Press
2021-01-01
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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 |
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