W2NER命名实体识别任务 复现AAAI 2022论文《Unified Named Entity Recognition as Word-Word Relation Classification》，W2NER可实现连续实体、嵌套实体、和非连续实体的预测
python=3.8
transformers=4.3.1
torch=1.8.1
1、模型的配置config.py可配置训练的超参数
2、运行main.py可进行模型的训练
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