probability of the surrounding word or the context word given the neighboring words and so you can think of this locked bu WC given all this WC minus ni for different values and so so so the way it's actually constructed is huge is average the embeddings of your neighboring words it's a very simple model so once your average that you just have a single vector and now you just say that this is a nonparametric softmax over all possible words that that you can have for your Center word and so that way you don't have to explicitly