In the data game, those who develop deep and nuanced understandings of their data are the ones who advance.
In the beginning of this process, volume is value.
I find that system performance improves most when signal extraction is guided by an understanding of the generative context behind each annotation.
Reason: without grounding in why a label exists, even the most precise classifications risk encoding noise as truth.