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nestauk
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en_skillner

Token Classification
spaCy
English
Eval Results
Model card Files Community
en_skillner
File size: 3,124 Bytes 
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{
  "lang":"en",
  "name":"skillner",
  "version":"3.5.0",
  "description":"A Named Entity Recognition (NER) model to extract SKILL, EXPERIENCE and BENEFIT from job adverts.",
  "author":"nestauk",
  "email":"[email protected]",
  "url":"https://explosion.ai",
  "license":"MIT",
  "spacy_version":">=3.5.3,<3.6.0",
  "spacy_git_version":"9e0322de1",
  "vectors":{
    "width":300,
    "vectors":514157,
    "keys":514157,
    "name":null
  },
  "labels":{
    "ner":[
      "SKILL",
      "EXPERIENCE",
      "BENEFIT"
    ]
  },
  "pipeline":[
    "tok2vec",
    "tagger",
    "parser",
    "attribute_ruler",
    "lemmatizer",
    "ner"
  ],
  "components":[
    "tok2vec",
    "tagger",
    "parser",
    "senter",
    "attribute_ruler",
    "lemmatizer",
    "ner"
  ],
  "disabled":[
    "senter"
  ],
  "performance":{
    "ents_p":0.5991309071,
    "ents_r":0.5768828452,
    "ents_f":0.5877964295,
    "skill_p":0.7277108434,
    "skill_r":0.7237866986,
    "skill_f":0.7257434665,
    "experience_p":0.56,
    "experience_r":0.4772727273,
    "experience_f":0.5153374233,
    "benefit_p":0.7741935484,
    "benefit_r":0.3582089552,
    "benefit_f":0.4897959184,
    "ents_per_type":{
      "SKILL":{
        "correct":1208,
        "incorrect":32,
        "partial":0,
        "missed":429,
        "spurious":420,
        "possible":1669,
        "actual":1660,
        "precision":0.7277108434,
        "recall":0.7237866986,
        "f1":0.7257434665
      },
      "EXPERIENCE":{
        "correct":84,
        "incorrect":37,
        "partial":0,
        "missed":55,
        "spurious":29,
        "possible":176,
        "actual":150,
        "precision":0.56,
        "recall":0.4772727273,
        "f1":0.5153374233
      },
      "BENEFIT":{
        "correct":24,
        "incorrect":3,
        "partial":0,
        "missed":40,
        "spurious":4,
        "possible":67,
        "actual":31,
        "precision":0.7741935484,
        "recall":0.3582089552,
        "f1":0.4897959184
      }
    }
  },
  "sources":[
    {
      "name":"OntoNotes 5",
      "url":"https://catalog.ldc.upenn.edu/LDC2013T19",
      "license":"commercial (licensed by Explosion)",
      "author":"Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston"
    },
    {
      "name":"ClearNLP Constituent-to-Dependency Conversion",
      "url":"https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md",
      "license":"Citation provided for reference, no code packaged with model",
      "author":"Emory University"
    },
    {
      "name":"WordNet 3.0",
      "url":"https://wordnet.princeton.edu/",
      "author":"Princeton University",
      "license":"WordNet 3.0 License"
    },
    {
      "name":"Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)",
      "url":"https://github.com/explosion/spacy-vectors-builder",
      "license":"CC0",
      "author":"Explosion"
    }
  ],
  "requirements":[

  ]
}