基于LSTM与衰减自注意力的答案选择模型

陈巧红,李妃玉,孙麒,贾宇波

Answer selection model based on LSTM and decay self-attention

Qiao-hong CHEN,Fei-yu LI,Qi SUN,Yu-bo JIA

表 2 不同模型在3个数据集上的实验对比结果

Tab.2 Comparison result of different models on three datasets

模型 WiKiQA TrecQA InsuranceQA MAP MRR MAP MRR P@1 MRR CNN 0.620 4 0.636 5 0.661 0.742 0.348 0.486 1 BiLSTM 0.617 4 0.631 0 0.636 0.715 0.533 0.659 7 CNN+BiLSTM 0.656 0 0.673 7 0.678 0.752 0.620 0.668 0 Attention+BiLSTM 0.638 1 0.653 7 0.711 0.801 0.657 0.675 0 ABCNN 0.691 0 0.712 7 — — 0.643 0.672 0 BERT 0.753 0 0.770 0 0.877 0.927 0.723 0.749 0 DALSTM 0.746 0 0.757 0 0.826 0.871 0.708 0.743 0