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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: 3,136 Bytes 
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{
  "lang":"en",
  "name":"skillner",
  "version":"3.7.1",
  "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":">=3.7.4,<3.8.0",
  "spacy_git_version":"bd2c17e20",
  "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":0.5919354839,
    "ents_r":0.5758368201,
    "ents_f":0.5837751856,
    "skill_p":0.721858249,
    "skill_r":0.7261833433,
    "skill_f":0.7240143369,
    "experience_p":0.5214285714,
    "experience_r":0.4147727273,
    "experience_f":0.4620253165,
    "benefit_p":0.756097561,
    "benefit_r":0.4626865672,
    "benefit_f":0.5740740741,
    "ents_per_type":{
      "SKILL":{
        "correct":1212,
        "incorrect":32,
        "partial":0,
        "missed":425,
        "spurious":435,
        "possible":1669,
        "actual":1679,
        "precision":0.721858249,
        "recall":0.7261833433,
        "f1":0.7240143369
      },
      "EXPERIENCE":{
        "correct":73,
        "incorrect":39,
        "partial":0,
        "missed":64,
        "spurious":28,
        "possible":176,
        "actual":140,
        "precision":0.5214285714,
        "recall":0.4147727273,
        "f1":0.4620253165
      },
      "BENEFIT":{
        "correct":31,
        "incorrect":4,
        "partial":0,
        "missed":32,
        "spurious":6,
        "possible":67,
        "actual":41,
        "precision":0.756097561,
        "recall":0.4626865672,
        "f1":0.5740740741
      }
    }
  },
  "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":[

  ]
}