Comments (1)
In my understanding, there is no need to modify the corresponding sequence labels.
For example, given a sequence ['Jony', 'is', 'a', 'boy'] with label being ['B-PER', 'O', 'O', 'O'].
After tokenization, you will get ['Jon', '##y', 'is', 'a', 'boy'].
According to the BERT paper:
we use the representation of the first sub-token as the input to the token-level classifier over the NER label set.
In this setting, you are using ['Jon', 'is', 'a', 'boy'] as the representative of the original sequence ['Jony', 'is', 'a', 'boy']. Since the sequence length is unchanged, you don't need to change the original sequence labels either. Hope this discussion would be helpful to you.
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