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The input speed of machines is orders of magnitude faster than humans.
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So it never occurred to me that there is a need to teach speed reading to machines.
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But from the rhetorical afterimage perspective, there is an appropriate speed for comprehension, and reading too slowly can hinder comprehension.
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Machine reading is significantly faster than human reading, but “slow reading” that follows every word
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Maybe we should have a faster reading.
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In other words, we should teach machines to read faster.
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Read the Table of Contents
- E-books with a table of contents as structured data are easy
- If not, the tree structure of the table of contents must be ascertained from the text data of the paper
- The tree structure created is the output
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Keyword Search
- Can be done with existing keyword extraction programs
- What is it about “a quick look and it jumps out at you?”
- One line of text is entered and keywords are extracted from it.
- Repeatedly appearing keywords increase cognitive efficiency through priming and jump to the eye.
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Create a question
- This is pretty advanced, I don’t know how to make it.
- What is
?” - “What is the relationship between
and ?”
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Create a mind map - Output associative network in a tree structure
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What would you write in a book if a machine could freely write in Scrapbox?
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Table of Contents of the book
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Keywords for the book
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The questions I had after reading the book and their answers
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A tree-like associative network about the book’s content
- itemize
This page is auto-translated from /nishio/機械に速読を教える using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I’m very happy to spread my thought to non-Japanese readers.