Papers with context predicting

1 papers
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation (P18-1)

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Challenge: Existing encoder-decoder dialog models cannot output interpretable actions as in traditional systems.
Approach: They propose an unsupervised discrete sentence representation learning method that integrates with existing encoder-decoder dialog models for interpretable response generation.
Outcome: The proposed model can be integrated with existing encoder-decoder dialog models and discover interpretable semantics via either auto encoding or context predicting.

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