paper-with-me

Conversational Response Selection 벤치마크

Conversational Response Selection on RRS Ranking Test

4개 결과 · ⬇ CSV · JSON

NDCG@3

0.609 0.6265 0.644 0.6615 0.679 2019-04 2026-09 Poly-encoder — 0.679 (2019-04-22) BERT — 0.625 (2019-08-13) SA-BERT+BERT-FP — 0.674 (2020-04-07) BERT-FP — 0.609 (2021-05-24) Poly-encoder — 0.679 (2019-04-22)
RankModel NDCG@3NDCG@5 PaperCodeYear
1 Poly-encoder 0.6790.765 Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring sfzhou5678/PolyEncoder · chijames/Poly-Encoder · csong27/collision-bert · +4 2019
2 SA-BERT+BERT-FP 0.6740.753 Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots JasonForJoy/BERT-for-Response-Selection · JasonForJoy/SA-BERT 2020
3 BERT 0.6250.714 An Effective Domain Adaptive Post-Training Method for BERT in Response Selection taesunwhang/BERT-ResSel 2019
4 BERT-FP 0.6090.709 Fine-grained Post-training for Improving Retrieval-based Dialogue Systems hanjanghoon/BERT_FP 2021
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