Papers with Response selection
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection (P19-1)
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| Challenge: | Existing models for response selection do not perform well when there are many candidate responses. |
| Approach: | They propose a Spatio-Temporal Matching network (STM) for response selection . they use soft alignment to obtain local relevance between context and response . |
| Outcome: | The proposed model significantly outperforms the state-of-the-art model on two large-scale multi-turn response selection tasks. |
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection (2020.emnlp-main)
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| Challenge: | Existing approaches to learning-to-rank response selection are suboptimal due to ignorance of diversity of response quality. |
| Approach: | They propose to use off-the-shelf response retrieval models as automatic grayscale data generators to train response selection models. |
| Outcome: | The proposed approach can be automated without human effort on grayscale data. |