Re: Machine Learning!
Funny, but not only.
Each word of each pattern must be uniquely indexed by its meaning, i.e. it is necessary to form its tuple; where in mathematics, a tuple is a final ordered list of elements. The more a tuple - the more clearly understood a word.
That is, annotating a word dictionary definition you have to explain to the computer every word of this definition, to distinguish a synonym and add this synonym's dictionary definition.
For example, the definition of the word "red":
-- of a color at the end of the spectrum next to orange and opposite violet, as of blood, fire, or rubies.
"her red lips"
synonyms: scarlet, vermilion, ruby, ruby red, ruby-colored, cherry, cherry red, cerise, cardinal, carmine, wine, wine red, wine-colored, claret, claret red, claret-colored, blood red
You need to add definitions to all words, such as "color" and "next", all synonyms ("vermilion", etc.) and filter them through the text that you profile finding the proper.
Now you agree that OpenAI is a provocation? That someone is trying to kill AI technology by sending you all in the wrong direction?
Biting the hand that feeds IT
