CoNLL'00

In machine learning, whether one can build a more accurate classifier by using unlabeled data (semi-supervised learning) is an important issue. Although a num- ber of semi-supervised methods have been …...

This paper provides evidence that the use of more unlabeled data in semi-supervised learn- ing can improve the performance of Natu- ral Language Processing (NLP) tasks, such as part-of-speech tagging, …...