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update entity tagging
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README.md

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</p>
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<p align="center">
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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-278--models-blue.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/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>
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### [Entity-Tagging](entity-tagging)
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1. Bidirectional RNN + Bahdanau Attention + CRF
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2. Bidirectional RNN + Luong Attention + CRF
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3. Bidirectional RNN + CRF
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4. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF
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5. Char Ngrams + Residual Network + Bahdanau Attention + CRF
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6. Char Ngrams + Attention is you all Need + CRF
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1. Bidirectional RNN + CRF, test accuracy 96%
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2. Bidirectional RNN + Luong Attention + CRF, test accuracy 93%
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3. Bidirectional RNN + Bahdanau Attention + CRF, test accuracy 95%
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4. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF, test accuracy 96%
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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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### [Dependency-Parser](dependency-parser)
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