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ESIM

Tensorflow implementation of ESIM model presented in paper Enhanced LSTM for Natural Language Inference

Implement details

mask: The calculation of attention weights and pooling layer should mask the padding words.

num_classes: For simpliticy, we set the number of label classes as 2. Of cause, you can change it to satisfy your own data.

Reporting issues

Please let me know, if you encounter any problems.

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Tensorflow implementation of ESIM model described in paper Enhanced LSTM for Natural Language Inference

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