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gdpr
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Presidio leverages ML models which might detect an instance in one sentence but not in another.
By automatically adding all instances of a previously identified entity, we can increase detection recall (and potentially decrease precision)
Example (hypothetical):
Text: "TrueForce is an American company. Lately, TrueForce was acquired by FalseForce".
If the first "TrueForce" was detected
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The problem
Some embed scripts use data- attributes which clash with those used by klaro! - for example, one embed script I have come across has a data-type='inline' attribute, which breaks the script when it is changed to type='inline'.
Proposed solution
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