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How do they work then that semantic similarity would be any different? That's just a matter of grouping semantically similar 'representations' in training, sure
by OJFord 3y ago
How do they work then that semantic similarity would be any different? That's just a matter of grouping semantically similar 'representations' in training, surely?
- londogard 3y agoYes, what I'm saying is that gzip does not perform as well when it's not overlapping tokens exact. Gzip does not support a "semantic" mode, hence it won't and does not (according to the papers metric) perform as well. Deep learning can capture these semantic similarities.