Another technique for making better use of unlabeled data is cotraining ( Blum and Mitchell 1998 ) , in which two sufficiently different learners help each other learn by labeling training data for one another .
combining labeled and unlabeled data with cotraining
Avrim Blum Tom Mitchell
This approach assumes that there are enough existing labeled data to train the individual parsers . Another technique for making better use of unlabeled data is cotraining ( Blum and Mitchell 1998 ) , in which two sufficiently different learners help each other learn by labeling training data for one another . The work of Sarkar ( 2001 ) and Steedman , Osborne , et al. ( 2003 ) suggests that co-training can be helpful for statistical parsing .
Another technique for making better use of unlabeled data is cotraining ( @@CITATION ) , in which two sufficiently different learners help each other learn by labeling training data for one another .