unb-lamfo-nlp-mcti
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NLP-ATS-MCTI

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igorgavi commited on Dec 20, 2022

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@@ -79,7 +79,7 @@ its implementation and the article from which it originated.
 - The only language supported by the model is English
 - For texts summarized by transformers, the size of the original text is limited by the maximum number of tokens supported by the transformer
 - No specific training is done for the application of the model and only pretrained transformers are used (e.g. BART is trained with CNN Corpus and Pegasus with XSum)
-- There is a difference between the quality of the results depending on the sort of text which is being summarized. BART, for example, having been trained with a dataset in the news domain, will be better at summarizing news in comparison to scientific articles.
 ### How to use

 - The only language supported by the model is English
 - For texts summarized by transformers, the size of the original text is limited by the maximum number of tokens supported by the transformer
 - No specific training is done for the application of the model and only pretrained transformers are used (e.g. BART is trained with CNN Corpus and Pegasus with XSum)
+- There is a difference in the quality of the results depending on the sort of text which is being summarized. BART, for example, having been trained with a dataset in the news domain, will be better at summarizing news in comparison to scientific articles
 ### How to use