That is, TO was assigned to the cases when the accuracy of WSD when a classifier was trained with ten labeled word tokens of the target data and tested using a leaveone-out cross-validation method was higher than the accuracy of WSD when a classifier was trained with the source data and tested using ten labeled word tokens of the target data.
this indicates that the simulation using ten manually labeled word tokens of the target data was an important clue in predicting the optimal DA method.