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However, while computers are great for solving well defined problems at a dizzying pace, they don't always do that well when the rules become murkier.
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However, the rule-based NER performs well when the required resources are available (e.g. a set of expert-derived rules), but the systems lack portability.
Innovation and success comes when the rules are played well and then broken.
Clay ran into some trouble with PETA a few years back as well, when a judge ruled that he didn't have an adequate permit to display the animal, but after the ruling was overturned earlier last year, the Possum Drop is going to resume as planned.
KBBN uses data to refine rule-based classifiers when the rule set is incomplete or ambiguous.
Especially when the rule is corrupt.
How well are the rules working when teams don't take to the track because they need to preserve their engines?
The classification rules performed fairly well when applied to the treatments given before 2005, which were collected in a different format.
The New York Times' Stuart Elliott put it well when he said: "Risk-taking, rule-breaking ideas were as hard to find among the more than 50 commercials as good taste in a GoDaddy ad".
Eventually, the government went after broadcasters as well, most famously when the Federal Communication Commission ruled that George Carlin's "Seven Dirty Words" monologue, presented on Pacifica Radio in New York, was indecent.
But.. one thing that might be, is that the design is somehow unexpected on this very type of media – it's somehow refreshing when someone well intentionally breaks the rules.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com