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README.md
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@@ -53,6 +53,13 @@ The performances of the model on our internal test set are:
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* MCC: 0.37
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* F1: 0.49
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## BibTeX entry and citation info
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```bibtex
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* MCC: 0.37
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* F1: 0.49
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## Potential weakness of the model
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* As the model has been trained on data of short length, it is difficult to predict how the model will behave on long texts
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* Although the model is robust to typos and able to generate synonyms, the entities and topics must be as explicit as possible.
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* The model may have difficulties to detect very abstract and complex topics, a fine tuning of the model can solve this problem
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* The model may have difficulty in capturing elements that are very specific to a given context
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## BibTeX entry and citation info
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```bibtex
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