words of past context in two words of next context we're going to do an incredibly simple linear operation like summing them and then we're just going to try to predict that word in the center so this is called the continuous bag of words representation continuous because it's a distributed representation bag of words because the operation that composes the context is just sum or a bag and then we just predict the output and we can parameterize that as like the log probability of the word in the center of the context and there's the inverse