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TextClassification

model MRR MAP Precision1
BertCAFE 0.56 0.52 0.37
BertDPCNN(Conv2D) 0.56 0.530 0.37
BertDPCNN(conv1D) 0.57 0.537 0.38
BertLSTM 0.58 0.54 0.40
BertHAN 0.581 0.545 0.384
BertRCNN 0.59 0.55 0.41
3输入BERT+CNN+cat 0.63 0.58 0.46
3输入BERT+两种交互+CNN+cat 0.627 0.578 0.457
3输入BERT+TripleAtt+CNN+cat 0.6326 0.5837 0.4639
3输入BERT+TripleAtt+RNN+CNN+cat 0.6357 0.5862 0.4684
3输入BERT+TripleAtt+联合Att+meanmaxPooling 0.6348 0.5854 0.4639
3输入BERT+TripleAtt+Transformer+meanmaxPooling 0.6410 0.5941 0.4714
3输入BERT+TripleAtt+CNN+meanmaxPooling 0.6448 - -

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