In this paper we hypothesize that it is worthwhile to enhance the reliability of unlabeled examples, provided that this type of data is inexpensive and the enhancement effort will be then rewarded with an improvement in disambiguation performance.
we propose a new approach based on the Expectation-Maximization (EM) algorithm (Dempster et al., 1977).