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--- |
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language: |
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- en |
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- fr |
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- it |
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- pt |
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tags: |
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- formality |
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licenses: |
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- cc-by-nc-sa |
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license: cc-by-nc-sa-4.0 |
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--- |
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**Model Overview** |
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This is the model presented in the paper "Detecting Text Formality: A Study of Text Classification Approaches". |
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The original model is [mDistilBERT (base)](https://huggingface.co/distilbert-base-multilingual-cased). Then, it was fine-tuned on the multilingual corpus for fomality classiication [X-FORMAL](https://arxiv.org/abs/2104.04108) that consists of 4 languages -- English (from [GYAFC](https://arxiv.org/abs/1803.06535)), French, Italian, and Brazilian Portuguese. |
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In our experiments, the model showed the best results within Transformer-based models for the cross-lingual formality classification knowledge transfer task. More details, code and data can be found [here](https://github.com/s-nlp/formality). |
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**Evaluation Results** |
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Here, we provide several metrics of the best models from each category participated in the comparison to understand the ranks of values. We report accuracy score for two setups -- multilingual model fine-tuned for each language separately and then fine-tuned on all languages. |
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For cross-lingual experiments results, please, refer to the paper. |
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| | En | It | Po | Fr | All | |
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|------------------|------|------|------|------|-------| |
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| bag-of-words | 79.1 | 71.3 | 70.6 | 72.5 | --- | |
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| CharBiLSTM | 87.0 | 79.1 | 75.9 | 81.3 | 82.7 | |
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| mDistilBERT-cased| 86.6 | 76.8 | 75.9 | 79.1 | 79.4 | |
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| mDeBERTa-base | 87.3 | 76.6 | 75.8 | 78.9 | 79.9 | |
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**How to use** |
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```python |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model_name = 'mdistilbert-base-formality-ranker' |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForSequenceClassification.from_pretrained(model_name) |
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``` |
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**Citation** |
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``` |
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TBD |
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``` |
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## Licensing Information |
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[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. |
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[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] |
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[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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[cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png |
