they do it the same same way that they do the squat basically or a similar way sorry they basically for each of the outputs here they simply classify whether or not is it's part of an M entity or not so what they have to do is they have to simply train if they you also have different labels for which kind of entity is this this is like a person and this is this is no entity so if you have ten of the labels then each for each thing you would classify it into one of ten classes so you need a classifier of input size versus number