of actually having an application a lot of this was kind of just like competing for competing sake on type one evals or like look at the funny samples so again one of the very fascinating things about the last few years of NLP has been how we figured out how to really use these things much more broadly across the board and this is where I think it really starts to get exciting so one of the first papers to do this it was the skip thought vectors paper from Jimmy tauros and collaborators in 2015 and so what they did is they proposed learning