(2016) (hereafter called 'Large Data LSTMs') learned a contingency between licensors and NPIs: the NPIs in examples like (3) were lower-surprisal when linearly preceded by negative licensors.
both papers reported that these models failed to constrain the contingency along the correct structural lines: negative NPI surprisal was decreased at least as much by a preceding negative distractor as by a negative licensor.