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SotA/Natural Language Processing/Conversational Response Selection/E-commerce

Conversational Response Selection on E-commerce

Metric: R10@5 (higher is better)

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#Model↕R10@5▼Extra DataPaperDate↕Code
1BERT-FP+EDHNS0.997No--Code
2DialMAE0.997NoDial-MAE: ConTextual Masked Auto-Encoder for Ret...2023-06-07Code
3BERT-TL0.997NoTwo-Level Supervised Contrastive Learning for Re...2022-03-01-
4BERT-FP0.993No--Code
5SA-BERT+HCL0.993NoDialogue Response Selection with Hierarchical Cu...2020-12-29Code
6BERT-SL0.991NoLearning an Effective Context-Response Matching ...2020-09-14-
7UMS_BERT+0.986NoDo Response Selection Models Really Know What's ...2020-09-10Code
8SA-BERT0.985NoSpeaker-Aware BERT for Multi-Turn Response Selec...2020-04-07Code
9U2U-IMN0.966NoUtterance-to-Utterance Interactive Matching Netw...2019-11-16Code
10IMN0.964NoInteractive Matching Network for Multi-Turn Resp...2019-01-07Code
11G-MSN0.964NoThe World is Not Binary: Learning to Rank with G...2020-04-06-
12IOI0.95No--Code
13MSN0.937No--Code
14DUA0.921NoModeling Multi-turn Conversation with Deep Utter...2018-06-24Code
15SMN0.886NoSequential Matching Network: A New Architecture ...2016-12-06Code