In NLP, bagging was used for active learning for text classification (Argamon-Engelson and Dagan, 1999;McCallum and Nigam, 1998).
in parsing, (Henderson and Brill, 2000) applied a constituent level voting scheme to an ensemble of bagged models to increase parser performance, and (Becker and Osborne, 2005) suggested an active learning technique in which the agreement among an ensemble of bagged parsers is used to predict examples valuable for human annotation.