A research team wants to use a single encoder-decoder model to perform grammatical error correction. How should they formulate this task to fit the text-to-text framework, where both the input and output are text sequences?
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Ch.1 Pre-training - Foundations of Large Language Models
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Text-to-Text Framework for NLP
Reformulating a Language Task
A research team wants to use a single encoder-decoder model to perform grammatical error correction. How should they formulate this task to fit the text-to-text framework, where both the input and output are text sequences?
An engineer is using a single, versatile model for several different language processing jobs. To do this, they must frame each job as a problem where the model receives an input text and must generate a corresponding output text. Match each job with its correct input/output text formulation.