For the average performance of these 10 subsets (see Table 6), the highest recall among these 10 subsets only reaches 0.767 and the highest F-score is 0.828.
we can see precisions across the 10 subsets are around 0.901 on average, which is a satisfying result of applying CRF model into recognizing novel terms, especially considering that only syntactic knowledge is used in this experiment.