Disentangling Language and Knowledge in Task-Oriented Dialogs

Dinesh Raghu
Dinesh Raghu
Nikhil Gupta
Nikhil Gupta

pp. 1239-1255, 2019.

Cited by: 6|Bibtex|Views39|Links
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Abstract:

The Knowledge Base (KB) used for real-world applications, such as booking a movie or restaurant reservation, keeps changing over time. End-to-end neural networks trained for these task-oriented dialogs are expected to be immune to any changes in the KB. However, existing approaches breakdown when asked to handle such changes. We propose...More

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