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对话式回复选择
Conversational Response Selection On Ubuntu 1
Conversational Response Selection On Ubuntu 1
评估指标
R10@1
R10@2
R10@5
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
R10@1
R10@2
R10@5
Paper Title
Repository
Dial-MAE
0.918
0.964
0.993
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
BERT-FP+EDHNS
0.917
0.965
0.994
Efficient Dynamic Hard Negative Sampling for Dialogue Selection
-
Uni-Enc+BERT-FP
0.916
0.965
0.994
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
BERT-FP
0.911
0.962
0.994
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems
-
Uni-Encoder
0.886
0.946
0.989
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
BERT-UMS+FGC
0.886
0.948
0.990
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
-
BERT-SL
0.884
0.946
0.990
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
-
Poly-encoder
0.882
0.949
0.990
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
UMS_BERT+
0.875
0.942
0.988
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
BERT-VFT
0.855
0.928
0.985
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
SA-BERT
0.855
0.928
0.983
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
WDMN
0.821
0.911
0.981
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues
-
MSN
0.800
0.899
0.978
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
-
ESIM
0.796
0.894
0.975
Sequential Attention-based Network for Noetic End-to-End Response Selection
IoI-local
0.796
0.894
0.974
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
-
IMN
0.794
0.889
0.974
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
TripleNet
0.790
0.885
0.970
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
-
DAM-Semi
0.785
0.883
0.974
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
-
DAM
0.767
0.874
0.969
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
-
DAM-MG
0.753
-
-
Multi-Granularity Representations of Dialog
-
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