Linear Layer

This paper presents neural probabilistic parsing models which explore up to third- order graph-based parsing with maximum likelihood training criteria. Two neural network extensions are exploited for per- formance improvement. …...

AbstractState-of-the-art approaches for text classification leverage a transformer architecture with a linear layer on top that outputs a class distribution for a given prediction problem. While effective, this approach suffers …...