A multi-encoder neural conversation model

Neurocomputing, pp. 344-354, 2019.

Cited by: 4|Views12


With the development of deep neural networks, Sequence-to-sequence (Seq2Seq) models become a popular technique of conversation models. Current Seq2Seq models with single encoder-decoder structures tend to generate responses which contain high frequency patterns on datasets. However, these patterns are always generic and meaningless. Gener...More



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