Hi,
If I wish to find the most important sentences using the BertExt model prior to generating summaries, what's the best way to do it? For example, can I use the CNN/DM Extractive model under the trained model section from the Presumm work (https://github.com/nlpyang/PreSumm/tree/dev)?
Hi,
If I wish to find the most important sentences using the BertExt model prior to generating summaries, what's the best way to do it? For example, can I use the CNN/DM Extractive model under the trained model section from the Presumm work (https://github.com/nlpyang/PreSumm/tree/dev)?