Papers › Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the...

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

24 Nov 2019arXiv:1911.10484archive 2025-07-28

Yichi Zhang, Zhijian Ou, Zhou Yu

Conversations have an intrinsic one-to-many property, which means that multiple responses can be appropriate for the same dialog context. In task-oriented dialogs, this property leads to different valid dialog policies towards task completion. However, none of the existing task-oriented dialog generation approaches takes this property into account. We propose a Multi-Action Data Augmentation (MADA) framework to utilize the one-to-many property to generate diverse appropriate dialog responses. Specifically, we first use dialog states to summarize the dialog history, and then discover all possible mappings from every dialog state to its different valid system actions. During dialog system training, we enable the current dialog state to map to all valid system actions discovered in the previous process to create additional state-action pairs. By incorporating these additional pairs, the dialog policy learns a balanced action distribution, which further guides the dialog model to generate diverse responses. Experimental results show that the proposed framework consistently improves dialog policy diversity, and results in improved response diversity and appropriateness. Our model obtains state-of-the-art results on MultiWOZ.

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Code

gitlab.com/ucdavisnlp/damd-multiwoz officialmentioned in papermentioned on GitHubpytorch report
TonyNemo/UBAR-MultiWOZ mentioned on GitHubpytorch report
bepoetree/mttod mentioned on GitHubpytorchApache-2.0 report
jasonyux/krls mentioned on GitHubpytorch report
whatissimondoing/his-dialog mentioned on GitHubpytorch report
yunhaoli1995/MAMD-TOD mentioned on GitHubpytorch report

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Tasks

Data AugmentationDiversityEnd-To-End Dialogue Modelling

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Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
End-To-End Dialogue Modelling MULTIWOZ 2.0 DAMD BLEU 18.6 #6 of 6 Archive leaderboard report
End-To-End Dialogue Modelling MULTIWOZ 2.0 DAMD MultiWOZ (Inform) 76.3 #6 of 6 Archive leaderboard report
End-To-End Dialogue Modelling MULTIWOZ 2.0 DAMD MultiWOZ (Success) 60.4 #6 of 6 Archive leaderboard report

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