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dslim
/
bert-base-NER
like
682
Token Classification
Transformers
PyTorch
google-tensorflow
TensorFlow
JAX
ONNX
Safetensors
conll2003
English
bert
Eval Results
arxiv:
1810.04805
License:
mit
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xet
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数据量太小,且太老,提取词类别较少。很难有参考价值
#24
by
zishan11
- opened
Nov 17
Discussion
zishan11
Nov 17
建议换模型,换数据。
我们可以讨论下这个黑核问题,因为bert本身要少量数据并且达到很好的效果,只能从算法和语义关联性的角度去思考了
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