ESIM

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 SelectiononUbuntu Dialogue (v1, Ranking)
R10@1· 2019-01-09
0.796
best: 0.918 (Dial-MAE)
SOTA
Sequential Attention-based Network for Noetic End-to-End Response Selection arXiv:1901.02609
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@2· 2019-01-09
0.894
best: 0.965 (BERT-FP+EDHNS)
SOTA
Sequential Attention-based Network for Noetic End-to-End Response Selection arXiv:1901.02609
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@5· 2019-01-09
0.975
best: 0.994 (BERT-FP+EDHNS)
SOTA
Sequential Attention-based Network for Noetic End-to-End Response Selection arXiv:1901.02609