In BertSUM paper they say that the summarization happens after the output of bert, they use a stack of specific summarization layers ( two layers of transformers worked best) then add a softmax layer to get which sentence should be included into the summmary. Now in their code there are classes for clustering, what’s the use of these classes/ methods? https://pypi.org/project/bert-extractive-summarizer/
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