SEMSOL

Reported on 6 benchmarks across 1 task

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

Natural Language Processing6 results

Conversational Response SelectiononDouban
MAP
0.64
best: 0.651 (SEMSOL(W/o utterances))
Conversational Response SelectiononDouban
MRR
0.678
best: 0.688 (Uni-Enc+BERT-FP)
Conversational Response SelectiononDouban
P@1
0.511
best: 0.518 (Uni-Enc+BERT-FP)
Conversational Response SelectiononDouban
R10@1
0.33
Conversational Response SelectiononDouban
R10@2
0.52
best: 0.557 (Uni-Enc+BERT-FP)
Conversational Response SelectiononDouban
R10@5
0.87
best: 0.877 (SEMSOL(W/o utterances))