BERT-TL

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

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 SelectiononE-commerce
R10@1· 2022-03-01
0.927
best: 0.957 (BERT-FP+EDHNS)
SOTA
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue arXiv:2203.00793
Conversational Response SelectiononE-commerce
R10@2· 2022-03-01
0.974
best: 0.986 (BERT-FP+EDHNS)
SOTA
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue arXiv:2203.00793
Conversational Response SelectiononE-commerce
R10@5· 2022-03-01
0.997
SOTA
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue arXiv:2203.00793