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SotA/Natural Language Processing/Conversational Response Selection/Douban

Conversational Response Selection on Douban

Metric: R10@5 (higher is better)

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#Model↕R10@5▼Extra DataPaperDate↕Code
1SEMSOL(W/o utterances)0.877No--Code
2BERT-FP0.87No--Code
3SEMSOL0.87No--Code
4Uni-Enc+BERT-FP0.865NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
5SA-BERT+HCL0.858NoDialogue Response Selection with Hierarchical Cu...2020-12-29Code
6UMS_BERT+0.858NoDo Response Selection Models Really Know What's ...2020-09-10Code
7Uni-Encoder0.852NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
8SA-BERT0.847NoSpeaker-Aware BERT for Multi-Turn Response Selec...2020-04-07Code
9BERT0.828NoAn Effective Domain Adaptive Post-Training Metho...2019-08-13Code
10Poly-encoder0.822NoPoly-encoders: Transformer Architectures and Pre...2019-04-22Code
11IMN0.789NoInteractive Matching Network for Multi-Turn Resp...2019-01-07Code
12MSN0.788No--Code
13IoI0.786No--Code
14DUA0.78NoModeling Multi-turn Conversation with Deep Utter...2018-06-24Code
15DAM0.757No--Code
16SMN0.724NoSequential Matching Network: A New Architecture ...2016-12-06Code