In addition, we can see that the best setting for γ is somewhere around γ = 4, 000.
in this experiment, we could only test up to 1,000 sentences due to the cost of SVM training, which were  where L is the number of training examples, regardless of the use of the speed-up method (Kazama and Torisawa, 2005), we can observe that the WMOLT kernel achieves a high accuracy even when the training data is very small.