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SotA/Natural Language Processing/Conversational Response Selection/Douban

Conversational Response Selection on Douban

Metric: R10@1 (higher is better)

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#Model↕R10@1▼Extra DataPaperDate↕Code
1SEMSOL0.33No--Code
2SA-BERT+HCL0.33NoDialogue Response Selection with Hierarchical Cu...2020-12-29Code
3SEMSOL(W/o utterances)0.328No--Code
4Uni-Enc+BERT-FP0.327NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
5BERT-FP0.324No--Code
6UMS_BERT+0.318NoDo Response Selection Models Really Know What's ...2020-09-10Code
7SA-BERT0.313NoSpeaker-Aware BERT for Multi-Turn Response Selec...2020-04-07Code
8Uni-Encoder0.303NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
9Poly-encoder0.299NoPoly-encoders: Transformer Architectures and Pre...2019-04-22Code
10MSN0.295No--Code
11BERT0.28NoAn Effective Domain Adaptive Post-Training Metho...2019-08-13Code
12IoI0.269No--Code
13IMN0.262NoInteractive Matching Network for Multi-Turn Resp...2019-01-07Code
14DAM0.254No--Code
15DUA0.243NoModeling Multi-turn Conversation with Deep Utter...2018-06-24Code
16SMN0.233NoSequential Matching Network: A New Architecture ...2016-12-06Code