i have been exploring the possibilities of using ftcc to doing text classification but for short text,
but so far i get bad accuracy, any advice on applying this for short text data text classification?
thank you
I wonder if anyone tested the ftcc method against gzip in the few-shot setup, k={5, 25,...}, I thought this was like the highlight of the gzip-paper, showing that gzip can perform reasonable with small training data. I guess if training data is sufficient, there's hardly a way to beat BERT with any non-neural method.