Conversational Response Selection On Dstc7

1-of-100 Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
Multi-context ConveRT	71.2%	ConveRT: Efficient and Accurate Conversational Representations from Transformers
Bi-encoder (v2)	70.9%	Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
Bi-encoder	66.3%	Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
Sequential Attention-based Network	64.5%	Sequential Attention-based Network for Noetic End-to-End Response Selection
Sequential Inference Models	60.8%	Building Sequential Inference Models for End-to-End Response Selection

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