V01:

• paper: multiway attention networks for modeling sentences pairs
• add qanet attention(trilinear attenion)
• add slqa attention (bilinear attention)
• using softmax to give each attention a weight
• add char embedding and alignment with word embedding

V02:

• QANet

V03:

• DGCNN, encoder with dilate convolution

V04:

• multi-cast attention

BERT:

• exture chinese character embedding from offical tensorflow checkpoint