<p>Yes, you can use transformer-based models for NER task. You can check this paper <a href="https://arxiv.org/abs/1810.04805" rel="nofollow noreferrer">BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding</a>. The method can be employing a pre-trained BERT model by fine-tuning it to NER task.</p>
named entity recognition using seq2seq model such as transformer?
<p>Can we use neural machine translation (like seq2seq) for named entity recognition?such as  USING TRANSFORMER nerual network FOR NER TASK. SOURCE IS WORD SEQUENCE, TARGET IS TAG sequence LIKE "o o o PERSON o o o location"，is it possible? </p>