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en_skillner
nestauk/en_skillner
en_skillner is a token classification model from nestauk. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
A Named Entity Recognition (NER) model to extract SKILL, EXPERIENCE and BENEFIT from job adverts.
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Repo size
3.6 GB
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3
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Repo makeup
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Other638 MB · 52%
At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- May 3, 2024
- Updated
- Jun 3, 2025
- SHA
- 2610a6de
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Model card
From the Hugging Face model README
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)<br>ClearNLP Constituent-to-Dependency Conversion (Emory University)<br>WordNet 3.0 (Princeton University)<br>Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl) (Explosion) |
| License | MIT |
| Author | nestauk |
Label Scheme
<details> <summary>View label scheme (3 labels for 1 components)</summary>| 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 |
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- en
- Created
- May 3, 2024
- Updated
- Jun 3, 2025