Papers with content-aware model

1 papers
TSDG: Content-aware Neural Response Generation with Two-stage Decoding Process (2020.findings-emnlp)

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Challenge: Empirical results show that generative models often use a single decoder to generate a complete response at a stroke.
Approach: They propose a content-aware model with two-stage decoding process to separate content words from function words.
Outcome: The proposed model outperforms competing models in automatic and human evaluation on two datasets.

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