Papers with utterance-level semantic dependency

1 papers
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation (D18-1)

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Challenge: Experimental results show that our model can generate semantically coherent responses compared to baseline models.
Approach: They propose an Auto-Encoder Matching model to learn utterance-level semantic dependency . their model contains two auto-encoders and one mapping module .
Outcome: Experimental results show that the proposed model can generate high coherence and fluency compared to baseline models.

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