There are only 4 classes in building C that appear in either building A or B, so there is not much difference between chunking and tagging.
we only evaluate chunking when training models based on building A and B and testing them on building C. We evaluate the performance of SeNsER with regard to chunking and tagging using the precision, recall, and F 1 scores, similar to NER tasks.