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[R] [D] NLP, Any papers on text summarization on very long (arbitrary length) text?

Hi, I’m catching up on the text summarization scene and most of the papers I have seen are using the CNN,newsroom,xsum datasets; but the max document size for any of these seem to be ~1000 tokens. Are there any papers that deal with very long (or arbitrary) document lengths?

As I understand it, most of the SOTA now is transformer based and they are bound by the # of positional embeddings in use.

submitted by /u/natural_language_guy
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.