A text-processing system is designed to identify altered words in a sentence. It uses a 'generator' to produce a new version of an original sentence, and then a 'discriminator' to label each word in the new sentence as either 'original' (if it's the same as the word in the original sentence) or 'replaced' (if the generator changed it).
Original Sentence: "The scientist discovered a new planet." Generator's Output Sentence: "The scientist found a new planet."
Based on its task, how should the discriminator label the words 'found' and 'planet' in the generator's output sentence?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
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A text-processing system is designed to identify altered words in a sentence. It uses a 'generator' to produce a new version of an original sentence, and then a 'discriminator' to label each word in the new sentence as either 'original' (if it's the same as the word in the original sentence) or 'replaced' (if the generator changed it).
Original Sentence: "The scientist discovered a new planet." Generator's Output Sentence: "The scientist found a new planet."
Based on its task, how should the discriminator label the words 'found' and 'planet' in the generator's output sentence?
Discriminator Labeling Logic
Evaluating a Token Classification System