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ESIM

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

Install / Use

/learn @zhongbin1/ESIM
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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.

View on GitHub
GitHub Stars5
CategoryDevelopment
Updated8mo ago
Forks2

Languages

Python

Security Score

82/100

Audited on Aug 7, 2025

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