Manning (2011) investigates the remaining 2.7% of errors in a high-performing tagger (Toutanova et al., 2003) . He suggests that a third or half of these remaining errors are due to errors or inconsistencies in the training data, a third might be solvable with richer linguistic models, and for the remainder the task is underspecified or unclear.