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SotA/Natural Language Processing/Conversational Response Selection/Douban

Conversational Response Selection on Douban

Metric: R10@2 (higher is better)

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#Model↕R10@2▼Extra DataPaperDate↕Code
1Uni-Enc+BERT-FP0.557NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
2SEMSOL(W/o utterances)0.552No--Code
3BERT-FP0.542No--Code
4SA-BERT+HCL0.531NoDialogue Response Selection with Hierarchical Cu...2020-12-29Code
5SEMSOL0.52No--Code
6Uni-Encoder0.514NoUni-Encoder: A Fast and Accurate Response Select...2021-06-02Code
7Poly-encoder0.494NoPoly-encoders: Transformer Architectures and Pre...2019-04-22Code
8UMS_BERT+0.482NoDo Response Selection Models Really Know What's ...2020-09-10Code
9SA-BERT0.481NoSpeaker-Aware BERT for Multi-Turn Response Selec...2020-04-07Code
10BERT0.47NoAn Effective Domain Adaptive Post-Training Metho...2019-08-13Code
11MSN0.452No--Code
12IMN0.452NoInteractive Matching Network for Multi-Turn Resp...2019-01-07Code
13IoI0.451No--Code
14DUA0.421NoModeling Multi-turn Conversation with Deep Utter...2018-06-24Code
15DAM0.41No--Code
16SMN0.396NoSequential Matching Network: A New Architecture ...2016-12-06Code