Machine Learning, NLP, Perceptron, Tagging, From The Archives.
model trained using the standard approach, it is shown that the perceptron-based model: Converges quicker (the standard approach requires up to 100x training iterations). Has lower error rates for POS tagging (an absolute decrease of ~0.5%) accuracy and higher F1-scores (an absolute increase of