Our gold standard data set is relatively small, so supervised learning that relies entirely on manually labeled data may not have sufficient coverage to perform well across the human need categories.
as with the other classifiers, the word embedding feature representations performed best, achieving an F1 score 54.4%, which is comparable to the F1 score of the LR Embed system.