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ai challenger 2018 opinion reading comprehension, using pytorch.
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v01_basemodel
v02_qanet
v03_dgcnn
v04_mcan
.gitignore
README.md

README.md

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
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