nestauk/en_skillner

A Named Entity Recognition (NER) model to extract SKILL, EXPERIENCE and BENEFIT from job adverts.

Future developments or maintainence of this model by Nesta have been stopped as of May 2025.

Feature	Description
Name	en_skillner
Version	3.7.1
spaCy	>=3.7.4,<3.8.0
Default Pipeline	tok2vec, tagger, parser, attribute_ruler, lemmatizer, ner
Components	tok2vec, tagger, parser, senter, attribute_ruler, lemmatizer, ner
Vectors	514157 keys, 514157 unique vectors (300 dimensions)
Sources	OntoNotes 5 (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) ClearNLP Constituent-to-Dependency Conversion (Emory University) WordNet 3.0 (Princeton University) Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl) (Explosion)
License	MIT
Author	nestauk

Label Scheme

View label scheme (3 labels for 1 components)

Component	Labels
ner	SKILL, EXPERIENCE, BENEFIT

Accuracy

Type	Score
ENTS_P	59.19
ENTS_R	57.58
ENTS_F	58.38
SKILL_P	72.19
SKILL_R	72.62
SKILL_F	72.40
EXPERIENCE_P	52.14
EXPERIENCE_R	41.48
EXPERIENCE_F	46.20
BENEFIT_P	75.61
BENEFIT_R	46.27
BENEFIT_F	57.41