To train the word embedding using these two methods, we apply the same setting for their common parameters.
the count of negative samples r is set to 3; the context window size l is set to 5; each model is trained through 1 epoch; the learning rate is initialized as 0.025 and is set to decrease linearly so that it approached zero at the end of training.