In recent coarse-grained evaluations, such systems have achieved accuracies of close to 90% (Pradhan et al., 2007;Agirre and Soroa, 2007;Schijvenaars et al., 2005).
for many semantic natural language processing tasks, systems require world knowledge to disambiguate language utterances.