BERT-UMS+FGC

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@1· 2021-11-19
0.886
best: 0.918 (Dial-MAE)
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning arXiv:2111.10154
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@2· 2021-11-19
0.948
best: 0.965 (BERT-FP+EDHNS)
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning arXiv:2111.10154
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@5· 2021-11-19
0.99
best: 0.994 (BERT-FP+EDHNS)
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning arXiv:2111.10154