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README.md
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## Model Specification
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- This is a **baseline Twitter POS tagging model (with 95.21\% Accuracy)** on Tweebank V2's NER benchmark (also called `Tweebank-NER`), trained on the Tweebank-NER training data.
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- For more details about the `TweebankNLP` project, please refer to this [our paper](https://arxiv.org/pdf/2201.07281.pdf) and [github](https://github.com/social-machines/TweebankNLP) page.
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- In the paper, it is referred as `HuggingFace-BERTweet (TB2)` in the POS table.
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## Model Specification
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- This is a **baseline Twitter POS tagging model (with 95.21\% Accuracy)** on Tweebank V2's NER benchmark (also called `Tweebank-NER`), trained on the Tweebank-NER training data.
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- **If you are looking for the SOTA Twitter POS tagger**, please go to this [HuggingFace hub link](https://huggingface.co/TweebankNLP/bertweet-tb2_ewt-pos-tagging).
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- For more details about the `TweebankNLP` project, please refer to this [our paper](https://arxiv.org/pdf/2201.07281.pdf) and [github](https://github.com/social-machines/TweebankNLP) page.
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- In the paper, it is referred as `HuggingFace-BERTweet (TB2)` in the POS table.
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