| { | |
| "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":[ | |
| ] | |
| } |