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Brill's Tagger as an Early Example of Predict-then-Refine
Brill's tagger is an early implementation of the predict-then-refine paradigm in NLP. It operates by first generating an initial Part-of-Speech (POS) tagging for a sentence and then iteratively refining this output using a rule-based system to correct errors.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
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Brill's Tagger as an Early Example of Predict-then-Refine
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