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@@ -56,7 +56,7 @@ The performances of the model on our internal test set are:
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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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  ## 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 deal with 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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