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Models/Uni-Encoder

Uni-Encoder

Reported on 14 benchmarks across 1 task · 1 paper · 5 SOTA

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

Natural Language Processing14 results

Conversational Response SelectiononPersona-Chat
MRR· 2021-06-02
0.922
SOTA
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononPersona-Chat
R20@1· 2021-06-02
0.869
best: 0.875 (P5)
SOTA
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononUbuntu Dialogue (v2, Ranking)
R10@1· 2021-06-02
0.859
SOTA
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononUbuntu Dialogue (v2, Ranking)
R10@2· 2021-06-02
0.938
SOTA
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononUbuntu Dialogue (v2, Ranking)
R10@5· 2021-06-02
0.99
SOTA
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononDouban
MAP· 2021-06-02
0.622
best: 0.651 (SEMSOL(W/o utterances))
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononDouban
MRR· 2021-06-02
0.662
best: 0.688 (Uni-Enc+BERT-FP)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononDouban
P@1· 2021-06-02
0.481
best: 0.518 (Uni-Enc+BERT-FP)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononDouban
R10@1· 2021-06-02
0.303
best: 0.33 (SEMSOL)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononDouban
R10@2· 2021-06-02
0.514
best: 0.557 (Uni-Enc+BERT-FP)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononDouban
R10@5· 2021-06-02
0.852
best: 0.877 (SEMSOL(W/o utterances))
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@1· 2021-06-02
0.886
best: 0.918 (Dial-MAE)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@2· 2021-06-02
0.946
best: 0.965 (BERT-FP+EDHNS)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263
Conversational Response SelectiononUbuntu Dialogue (v1, Ranking)
R10@5· 2021-06-02
0.989
best: 0.994 (BERT-FP+EDHNS)
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems arXiv:2106.01263