It can be seen from Figure 3 that the performance drops smoothly when the window size is larger than 3.
ly, the Fscore of out-of-vocabulary identification decreases relatively fast beyond window size 5, which shows that the size of window (and the number of parameters) is too large that the trained network has overfitted on training data.