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5 | 5 | </p>
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6 | 6 | <p align="center">
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7 | 7 | <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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8 |
| - <a href="#"><img src="https://img.shields.io/badge/total%20models-278--models-blue.svg"></a> |
| 8 | + <a href="#"><img src="https://img.shields.io/badge/total%20models-279--models-blue.svg"></a> |
9 | 9 | <a href="#"><img src="https://img.shields.io/badge/sentiments-71--models-success.svg"></a>
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10 | 10 | <a href="#"><img src="https://img.shields.io/badge/chatbot-54--models-success.svg"></a>
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11 | 11 | <a href="#"><img src="https://img.shields.io/badge/NMT-52--models-success.svg"></a>
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@@ -307,12 +307,13 @@ I will attached github repositories for models that I not implemented from scrat
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307 | 307 |
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308 | 308 | ### [Entity-Tagging](entity-tagging)
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309 | 309 |
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310 |
| -1. Bidirectional RNN + Bahdanau Attention + CRF |
311 |
| -2. Bidirectional RNN + Luong Attention + CRF |
312 |
| -3. Bidirectional RNN + CRF |
313 |
| -4. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF |
314 |
| -5. Char Ngrams + Residual Network + Bahdanau Attention + CRF |
315 |
| -6. Char Ngrams + Attention is you all Need + CRF |
| 310 | +1. Bidirectional RNN + CRF, test accuracy 96% |
| 311 | +2. Bidirectional RNN + Luong Attention + CRF, test accuracy 93% |
| 312 | +3. Bidirectional RNN + Bahdanau Attention + CRF, test accuracy 95% |
| 313 | +4. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF, test accuracy 96% |
| 314 | +5. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF, test accuracy 96% |
| 315 | +6. Char Ngrams + Residual Network + Bahdanau Attention + CRF, test accuracy 69% |
| 316 | +7. Char Ngrams + Attention is you all Need + CRF, test accuracy 90% |
316 | 317 |
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317 | 318 | ### [Dependency-Parser](dependency-parser)
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318 | 319 |
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