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Task-Oriented Dialogue System as Natural Language Generation
[article]
2021
arXiv
pre-print
In this paper, we propose to formulate the task-oriented dialogue system as the purely natural language generation task, so as to fully leverage the large-scale pre-trained models like GPT-2 and simplify complicated delexicalization prepossessing. However, directly applying this method heavily suffers from the dialogue entity inconsistency caused by the removal of delexicalized tokens, as well as the catastrophic forgetting problem of the pre-trained model during fine-tuning, leading to
arXiv:2108.13679v2
fatcat:65gmtkg565azzhvgkxdq2527vy