Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
Table 3: F1-scores on the NER target domain (CBS SciTech News).
['Target Samples', '0', '50']
However, we observe that template regularization loses its effectiveness in this task, since the text in NER is relatively more open, which makes it hard to capture the templates for each label type.