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SotA/Natural Language Processing/Conversational Response Selection/Douban

Conversational Response Selection on Douban

Metric: MAP (higher is better)

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#Model↕MAP▼Extra DataPaperDate↕Code
1SEMSOL(W/o utterances)0.651No--Code
2Uni-Enc+BERT-FP0.648NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
3BERT-FP0.644No--Code
4SEMSOL0.64No--Code
5SA-BERT+HCL0.639NoDialogue Response Selection with Hierarchical Cu...2020-12-29Code
6UMS_BERT+0.625NoDo Response Selection Models Really Know What's ...2020-09-10Code
7Uni-Encoder0.622NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
8SA-BERT0.619NoSpeaker-Aware BERT for Multi-Turn Response Selec...2020-04-07Code
9Poly-encoder0.608NoPoly-encoders: Transformer Architectures and Pre...2019-04-22Code
10BERT0.591NoAn Effective Domain Adaptive Post-Training Metho...2019-08-13Code
11MSN0.587No--Code
12IoI0.573No--Code
13IMN0.57NoInteractive Matching Network for Multi-Turn Resp...2019-01-07Code
14DUA0.551NoModeling Multi-turn Conversation with Deep Utter...2018-06-24Code
15DAM0.55No--Code
16SMN0.529NoSequential Matching Network: A New Architecture ...2016-12-06Code