Our results imply that in many language tasks, a fine-grained set of categories which are formed in response to the properties of the input are more appropriate than the coarser-grained part of speech categories.
the ubiquitous approach of using PoS categories as the gold standard in evaluating unsupervised category induction models needs to be reevaluated.