It performs well on a number of natural language processing problems, including text categorization (Schapire and Singer, 2000) and word sense disambiguation (Escudero et al., 2000).
it has also been demonstrated that boosting can be used to build language-independent NER models that perform exceptionally well (Wu et al., 2002;Carreras et al., 2002).