Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity (D18-1)
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| Challenge: | Existing encoder-decoder models for open domain dialogue generate generic, uninformative, and non-coherent responses. |
| Approach: | They propose to introduce a measure of coherence as the GloVe embedding similarity between dialogue context and generated response to improve output diversity. |
| Outcome: | The proposed model improves on the OpenSubtitles corpus in terms of BLEU score and diversity metrics. |
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| Challenge: | Existing methods of open-domain dialogue evaluation are labor-intensive and inefficient. |
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