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37 | 37 | </div> |
38 | 38 |
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39 | 39 | * 🔥 2022.5.16 PaddleNLP [v2.3](https://github.com/PaddlePaddle/PaddleNLP/releases/tag/v2.3.0) Released!🎉 |
40 | | - * 🔥 Release [**UIE** (Universal Information Extraction)](./model_zoo/uie) technique, which single model can support *NER*, *Relation Extraction*, *Event Extraction* and *Sentiment Anlaysis* simultaneously. |
41 | | - * 🔥 Release [**ERNIE 3.0**](./model_zoo/ernie-3.0) light-weight model which achieved better results compared to ERNIE 2.0 on [CLUE](https://www.cluebenchmarks.com/). |
| 40 | + * 💎 Release [**UIE** (Universal Information Extraction)](./model_zoo/uie) technique, which single model can support *NER*, *Relation Extraction*, *Event Extraction* and *Sentiment Analysis* simultaneously. |
| 41 | + * 😊 Release [**ERNIE 3.0**](./model_zoo/ernie-3.0) light-weight model achieved better results compared to ERNIE 2.0 on [CLUE](https://www.cluebenchmarks.com/), also including **🗜️lossless model compression** and **⚙️end-to-end deployment**. |
42 | 42 | * 🏥 Release [**ERNIE-Health**](./model_zoo/ernie-health), a **SOTA** biomedical pretrained model on [CBLUE](https://github.com/CBLUEbenchmark/CBLUE). |
43 | 43 | * 💬 Release [**PLATO-XL**](./model_zoo/plato-xl) with FasterGeneration, which can do fastest parallel inference with 11B model for open domain chatbot. |
44 | 44 |
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55 | 55 |
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56 | 56 | ### Out-of-Box NLP Toolset |
57 | 57 |
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58 | | -Taskflow aims to provide off-the-shelf NLP pre-built task covering NLU and NLG scenario, in the meanwhile with extreamly fast infernece satisfying industrial applications. |
| 58 | +Taskflow aims to provide off-the-shelf NLP pre-built task covering NLU and NLG technique, in the meanwhile with extreamly fast infernece satisfying industrial scenario. |
59 | 59 |
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60 | 60 |  |
61 | 61 |
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@@ -171,14 +171,14 @@ For more details please refer to [Neural Search](./applications/neural_search). |
171 | 171 |
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172 | 172 | #### ❓ Question Answering System |
173 | 173 |
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174 | | -We provide question answering pipeline which can support FAQ system, Document-level Visual Question answering system based on [RocketQA](https://github.com/PaddlePaddle/RocketQA) technique. |
| 174 | +We provide question answering pipeline which can support FAQ system, Document-level Visual Question answering system based on [🚀RocketQA](https://github.com/PaddlePaddle/RocketQA). |
175 | 175 |
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176 | 176 | <div align="center"> |
177 | 177 | <img src="https://user-images.githubusercontent.com/11793384/168514868-1babe981-c675-4f89-9168-dd0a3eede315.gif" width="400"> |
178 | 178 | </div> |
179 | 179 |
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180 | 180 |
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181 | | -For more details please refer to [Question Answering](./applications/question_answering). |
| 181 | +For more details please refer to [Question Answering](./applications/question_answering) and [Document VQA](./applications/doc_vqa). |
182 | 182 |
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183 | 183 |
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184 | 184 | #### 💌 Opinion Extraction and Sentiment Analysis |
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