Models can only reliably predict the human ratings in this data set if they can capture the difference between verb argument positions as well as between individual fillers.
because the verb-argument pairs were created by hand and with strict requirements, many of the arguments are infrequent in standard corpora (e.g., wimp, bellboy, or knight).