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简历命名实体识别

  • 使用
ner_predictor = pipeline(
    task="nerpipe",
    model="minskiter/resume-token-classification",
    device="cpu",
    trust_remote_code=True,
    use_auth_token=True
)
  • 模型

BertCrfModel

  • 数据集 Resume
Typing Train Dev Test
Sentence 3.8k 0.46k 0.48k
Char 124.1k 13.9k 15.1k
Tag Meaning Train Dev Test
CONT Country 260 33 28
EDU Educational Institution 858 106 112
LOC Location 47 2 6
NAME Personal Name 952 110 112
ORG Organization 4611 523 553
PRO Profession 287 18 33
RACE Ethnicity Background 115 15 14
TITLE Job Title 6308 690 772
Total Entity --- 13438 1497 1630
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