Papers with Multi-Turn dialogue Reasoning
MuTual: A Dataset for Multi-Turn Dialogue Reasoning (2020.acl-main)
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| Challenge: | Existing non-task oriented dialogue systems can yield a relevant and fluent response, but sometimes make logical mistakes because of weak reasoning capabilities. |
| Approach: | They propose a dataset for multi-turn dialogue reasoning that uses annotated dialogues to train a machine to handle various reasoning problems. |
| Outcome: | Empirical results show that state-of-the-art methods only reach 71%, far behind human performance of 94%. |