Multi-label classification of open-ended questions with BERT

no code implementations • 6 Apr 2023 • Matthias Schonlau, Julia Weiß, Jan Marquardt

As expected, it is much easier to correctly predict answer texts that correspond to a single label (7. 1% loss) than those that correspond to multiple labels ($\sim$50% loss).

Classification Multi-Label Classification