Papers with utterance retrieval task
Multi-Granularity Representations of Dialog (D19-1)
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| Challenge: | Neural models of dialog rely on generalized latent representations of language. |
| Approach: | They propose a training procedure which explicitly learns multiple representations of language at several levels of granularity. |
| Outcome: | The proposed training procedure significantly improves performance on the next utterance retrieval task using the MultiWOZ dataset and the Ubuntu dialog corpus. |