Papers by Xuewei Guo
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection (2022.emnlp-main)
Copied to clipboard
| Challenge: | Existing studies focus on matching between candidate options and historical dialogues while ignoring the reasoning ability of the model. |
| Approach: | They propose an Implicit Relational Reasoning Graph Network to address these issues . they propose to implicitly extract dependencies between utterances and options . |
| Outcome: | The proposed model outperforms human models on two multi-turn dialogue reasoning benchmark datasets. |