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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":"Explosion",
  "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":0.0,
    "ents_r":0.0,
    "ents_f":0,
    "ents_per_type":{
      "SKILL":{
        "ent_type":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":8,
          "spurious":4,
          "possible":8,
          "actual":4,
          "precision":0.0,
          "recall":0.0,
          "f1":0
        },
        "partial":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":8,
          "spurious":4,
          "possible":8,
          "actual":4,
          "precision":0.0,
          "recall":0.0,
          "f1":0
        },
        "strict":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":8,
          "spurious":4,
          "possible":8,
          "actual":4,
          "precision":0.0,
          "recall":0.0,
          "f1":0
        },
        "exact":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":8,
          "spurious":4,
          "possible":8,
          "actual":4,
          "precision":0.0,
          "recall":0.0,
          "f1":0
        }
      },
      "EXPERIENCE":{
        "ent_type":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":1,
          "spurious":0,
          "possible":1,
          "actual":0,
          "precision":0,
          "recall":0.0,
          "f1":0
        },
        "partial":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":1,
          "spurious":0,
          "possible":1,
          "actual":0,
          "precision":0,
          "recall":0.0,
          "f1":0
        },
        "strict":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":1,
          "spurious":0,
          "possible":1,
          "actual":0,
          "precision":0,
          "recall":0.0,
          "f1":0
        },
        "exact":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":1,
          "spurious":0,
          "possible":1,
          "actual":0,
          "precision":0,
          "recall":0.0,
          "f1":0
        }
      },
      "BENEFIT":{
        "ent_type":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":0,
          "spurious":0,
          "possible":0,
          "actual":0,
          "precision":0,
          "recall":0,
          "f1":0
        },
        "partial":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":0,
          "spurious":0,
          "possible":0,
          "actual":0,
          "precision":0,
          "recall":0,
          "f1":0
        },
        "strict":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":0,
          "spurious":0,
          "possible":0,
          "actual":0,
          "precision":0,
          "recall":0,
          "f1":0
        },
        "exact":{
          "correct":0,
          "incorrect":0,
          "partial":0,
          "missed":0,
          "spurious":0,
          "possible":0,
          "actual":0,
          "precision":0,
          "recall":0,
          "f1":0
        }
      }
    }
  },
  "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":[

  ]
}