Because no context information is used during classification, the word vector corresponding to a word will always be classified the same, even though the correct classification might depend on the context, e. g. the word put can belong to different tense classes depending on the context.
an upper bound for the classification task is to assign each word the most probable class for that word (computed on the training set).