TripleNet

Reported on 4 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 Processing4 results

Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@1· 2019-09-24
0.79
best: 0.918 (Dial-MAE)
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots arXiv:1909.10666
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@2· 2019-09-24
0.885
best: 0.965 (BERT-FP+EDHNS)
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots arXiv:1909.10666
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@5· 2019-09-24
0.97
best: 0.994 (BERT-FP+EDHNS)
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots arXiv:1909.10666
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R2@1· 2019-09-24
0.943
best: 0.975 (BERT-SL)
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots arXiv:1909.10666