 A third option that trains slower than the CBOW but performs slightly better is to invert the previous problem and make a neural network learn the context, given a word.More formally, given a sequence of training words formula_22, one maximizes the average log-probability

where , the size of the training context, can be a function of the center word formula_24.This is called a skip-gram language model.