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<a href =" https://github.com/huseinzol05/NLP-Models-Tensorflow/blob/master/LICENSE " ><img alt =" MIT License " src =" https://img.shields.io/badge/License-MIT-yellow.svg " ></a >
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- <a href =" # " ><img src =" https://img.shields.io/badge/total%20models-279 --models-blue.svg " ></a >
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+ <a href =" # " ><img src =" https://img.shields.io/badge/total%20models-280 --models-blue.svg " ></a >
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<a href =" # " ><img src =" https://img.shields.io/badge/sentiments-71--models-success.svg " ></a >
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<a href =" # " ><img src =" https://img.shields.io/badge/chatbot-54--models-success.svg " ></a >
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<a href =" # " ><img src =" https://img.shields.io/badge/NMT-52--models-success.svg " ></a >
@@ -314,6 +314,7 @@ I will attached github repositories for models that I not implemented from scrat
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5 . Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF, test accuracy 96%
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6 . Char Ngrams + Residual Network + Bahdanau Attention + CRF, test accuracy 69%
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7 . Char Ngrams + Attention is you all Need + CRF, test accuracy 90%
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+ 8 . BERT, test accuracy 99%
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### [ Dependency-Parser] ( dependency-parser )
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