We observed that generally the embedding representation is very rich and information dense. For example, reducing the dimensionality of the inputs using SVD or PCA, even by 10%, generally results in worse downstream performance on specific tasks.
Machines, with their rigid information processing capabilities, need everything spelled out for them. To be able to do something useful with this title and byline, a machine would need to be able to parse it correctly. It would need to know that the numbe
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