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Consider a text corruption technique where non-overlapping segments of text are randomly selected and each chosen segment is replaced by a single [MASK] token. According to this technique, if the three-word segment 'the big dog' is selected from a sentence, it would be replaced by '[MASK] [MASK] [MASK]'.
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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Application in Bloom's Taxonomy
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Example of Span Masking
Prediction Challenge in Span Masking
An engineer is analyzing a text corruption technique and observes the following input-output pair:
Original Text: 'The very happy dog played in the big yard.' Processed Text: 'The [MASK] dog played [MASK] yard.'
Based on this single example, what can be definitively concluded about the rules of this corruption technique?
Reconstructing Masked Spans
Consider a text corruption technique where non-overlapping segments of text are randomly selected and each chosen segment is replaced by a single
[MASK]token. According to this technique, if the three-word segment 'the big dog' is selected from a sentence, it would be replaced by '[MASK] [MASK] [MASK]'.A text corruption technique involves selecting one or more non-overlapping segments of text (spans) and replacing each entire segment with a single
[MASK]token. This technique also allows for selecting zero-length spans, which results in inserting a[MASK]token. Given the original sentence: 'The quick brown fox jumps over the lazy dog.', which of the following outputs represents an invalid application of this technique?