Papers with Semantically controlled neural response generation

1 papers
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention (P19-1)

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Challenge: Existing models for limited-domain RNNs are difficult to scale due to the complexity of the inputs.
Approach: They propose to use dialog acts to build a multi-layer hierarchical graph with a disentangled self-attention network.
Outcome: The proposed model improves on the baselines on automatic and human evaluation metrics.

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