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Question Answering On Yahoocqa

Metriken

MRR

P@1

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	MRR	P@1	Paper Title	Repository
sMIM (1024)	0.818	0.683	SentenceMIM: A Latent Variable Language Model
sMIM (1024) +	0.863	0.757	SentenceMIM: A Latent Variable Language Model
AP-BiLSTM	0.731	0.568	Attentive Pooling Networks
HyperQA	0.801	0.683	Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
CNN	0.632	0.413	Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
LSTM	0.669	0.465	Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
AP-CNN	0.726	0.560	Attentive Pooling Networks

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