Dual-LSTM

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

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· 2015-06-30
0.604
best: 0.918 (Dial-MAE)
SOTA
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems arXiv:1506.08909
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@2· 2015-06-30
0.745
best: 0.965 (BERT-FP+EDHNS)
SOTA
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems arXiv:1506.08909
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@5· 2015-06-30
0.926
best: 0.994 (BERT-FP+EDHNS)
SOTA
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems arXiv:1506.08909
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R2@1· 2015-06-30
0.878
best: 0.975 (BERT-SL)
SOTA
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems arXiv:1506.08909