In this work, we analyzed the problems of existing research on zero-shot text classification (0SHOT-TC): restrictive problem definition, the weakness in understanding the problem and the la-bels' meaning, and the chaos of datasets and evaluation setups.
we are benchmarking 0SHOT-TC by standardizing the datasets and evaluations.