Conversational Response Selection On Rrs
Metrics
MAP
MRR
P@1
R10@1
R10@2
R10@5
Results
Performance results of various models on this benchmark
Model Name | MAP | MRR | P@1 | R10@1 | R10@2 | R10@5 | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| BERT-FP | 0.702 | 0.712 | 0.543 | 0.488 | 0.708 | 0.927 | Fine-grained Post-training for Improving Retrieval-based Dialogue Systems | |
| BERT | 0.625 | 0.639 | 0.453 | 0.404 | 0.606 | 0.875 | An Effective Domain Adaptive Post-Training Method for BERT in Response Selection | |
| DAM | 0.511 | 0.534 | 0.347 | 0.308 | 0.457 | 0.751 | Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network | |
| SMN | 0.487 | 0.501 | 0.309 | 0.281 | 0.442 | 0.723 | Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots | |
| SA-BERT+BERT-FP | 0.701 | 0.715 | 0.555 | 0.497 | 0.685 | 0.931 | Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots | |
| MSN | 0.550 | 0.563 | 0.383 | 0.343 | 0.498 | 0.798 | Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots | |
| SA-BERT+HCL | 0.671 | 0.683 | 0.503 | 0.454 | 0.659 | 0.917 | Dialogue Response Selection with Hierarchical Curriculum Learning |
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