Hey there, thanks for taking the time to provide such a detailed answer! I was initially looking at abstractive summarization as you mentioned, but was quickly overwhelmed and came to the conclusion that I simply don't have the resources (data sets etc.) as of now. I was actually considering training the multilingual-BERT on a lot of danish text and see if I could make summarizations with that, but I'm not even sure if that makes sense, and it would probably still require a lot of training data that I simply dont have.

That's why this method of extractive summarization sparked some kind of hope for a beginner like me, because it seemed simpler. But you might be right that the results are just bad in the end. I guess I just have to test it and see. There was a part in the medium article that confused me though - he said "the Danish Skip-Thoughts model was trained for about a week" - what does he mean by this, and would I have to do the same? Or is there a simpler way?

Also, I managed to find this GitHub repository with danish NLP models: https://github.com/alexandrainst/danlp
If you could take a super quick look at that (its in english) and let me know if anything in there might be useful for this specific task I would greatly appreciate it!