We used the standard training set, consisting of sections 02-21 of the Wall Street Journal (WSJ) portion of the Penn Treebank, and conducted tests on the Brown corpus (Kucera and Francis, 1967).
comparing to unsupervised representation learning, the semi-supervised representation learning does not require additional annotation effort, but makes use of the existing labels in the source domain.