Papers with sequence to sequence generative models
Exemplar Encoder-Decoder for Neural Conversation Generation (P18-1)
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| Challenge: | Existing approaches to generate conversational systems suffer from lack of diversity in responses and generation of short, repetitive and uninteresting responses. |
| Approach: | They propose a novel conversation model that uses similar examples from training data to generate responses. |
| Outcome: | The proposed model outperforms state-of-the-art sequence to sequence learning on several evaluation metrics on two large data sets. |