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AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog. (arXiv:2209.03632v2 [cs.CL] UPDATED)
Sept. 27, 2022, 1:14 a.m. | Tomáš Nekvinda, Ondřej Dušek
cs.CL updates on arXiv.org arxiv.org
We introduce AARGH, an end-to-end task-oriented dialog system combining
retrieval and generative approaches in a single model, aiming at improving
dialog management and lexical diversity of outputs. The model features a new
response selection method based on an action-aware training objective and a
simplified single-encoder retrieval architecture which allow us to build an
end-to-end retrieval-enhanced generation model where retrieval and generation
share most of the parameters. On the MultiWOZ dataset, we show that our
approach produces more diverse outputs while …
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