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Teaching Science to Machines

Updated: Jan 25, 2021

AI-based ‘speed-readers’ are useful because

the scientific literature is so vast. By one estimate,

new papers are published worldwide at

a rate of 1 million each year — that’s one every

30 seconds. It is practically impossible for

researchers to keep up, even in their own narrow

disciplines. So, some seek to computationally

tame the flood.

The algorithms powering such tools typically

perform two functions — they extract scientific

content and provide advanced services, such as

filtering, ranking and grouping search results.

Algorithms extracting scientific content often

exploit natural language processing (NLP)

techniques, which seek to interpret language as

humans use it, Colavizza explains.

Read more download article:

AI Tames the Scientific literature
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