Embeddings of Label Components for Sequence Labeling:A Case Study of Fine-grained Named Entity Recognition
Table 2: Details of frequency classes.
['Frequency Classes', 'Frequency Classes', 'English Dev', 'English Test', 'Japanese Dev', 'Japanese Test']
There is a gap between the frequencies, i.e., how many times each label appears in the training set. For example, if a label appears 0–100 times in the training set, it is categorized into the “Low” class. Moreover, we denote how many times entities with the labels belonging to each frequency class appear in the development or test set. To better understand the model behavior, we investigate the performance of each frequency class.