h a l f b a k e r yBirth of a Notion.
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Auto summarizes everything online including texts and app
screens,
lets the users suggest alternative summaries and vote on
them,
and most importantly, lets the users have a personalized
summary
in the direction they choose, by giving a summary of the
differences between the proposed
summary options, and
allowing
the users to choose between them.
The users can then distract themselves by arguing over the
summary of differences and whether that is accurate. If not
satisfactory, they can always go one level deeper.
The app can tell what you need and want to know, skipping
the ads, and without "reading" out all the buttons on the
screen.
Precursor to Dr. Pocmlot's article
https://www.researc..._as_a_Critical_Turn [pashute, Aug 20 2020]
Especially section 21
https://journals.op...tion.org/semen/8912 [pashute, Aug 20 2020]
[link]
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The trouble here is there is any number of levels of summary. You would have a slider bar: |
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I- 1 word
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I- 50% compresson
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I
I- Original full text as found on the source web page or app.
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I
I- Original full text expanded with more complete and complex grammar and replacement of difficult or ambiguous words with circumlocutions
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I- Verbosely loquatious expansion of the linked source-text with dictionary definititions[1], asides and background context applied whenever possible plus full footnote references to relevant studies or analytical papers[2]
!!!***!!! 50% off --- Rentisham's sale now on --- 50% off !!!***!!!
[1] Either Oxford English Dictionary or Websters, depending on preference settings
[2] See for example, P. P. Pocmloc et al, "On the use of relevant studies to elucidate meaning in otherwise ambiguously para-contextualised online discourses", in the South Dorset Journal of Agricultural Implement Studies, series 4, volume 97, part 11, pages 4776-4944 |
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I am starting to think that similar ideas and discussions have happened here before. |
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I'll summarize the internet for you: |
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Porn
Coronavirus
Trump
Russia
Rick Astley
Cat videos |
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Back when I was studying computational linguistics, this was the Holy Grail in my mind, except that I was aiming a bit lower and just wanted to see something that could create automatic abstracts for academic papers. Even though such papers are largely written to form, so that simply repeating the first paragraph might often have been enough, I still don't think such abstracts are generated automatically. |
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Google and others come close, by showing 1 sentence as a preview to represent some longer page |
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I'm not entirely convinced that those cited papers are strictly relevant to this idea, [pashute]. |
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