|
--- |
|
tags: |
|
- spacy |
|
- token-classification |
|
language: |
|
- en |
|
license: MIT |
|
model-index: |
|
- name: en_core_web_md |
|
results: |
|
- task: |
|
name: NER |
|
type: token-classification |
|
metrics: |
|
- name: NER Precision |
|
type: precision |
|
value: 0.853733758 |
|
- name: NER Recall |
|
type: recall |
|
value: 0.8456530449 |
|
- name: NER F Score |
|
type: f_score |
|
value: 0.8496741892 |
|
- task: |
|
name: POS |
|
type: token-classification |
|
metrics: |
|
- name: POS Accuracy |
|
type: accuracy |
|
value: 0.9727831973 |
|
- task: |
|
name: SENTER |
|
type: token-classification |
|
metrics: |
|
- name: SENTER Precision |
|
type: precision |
|
value: 0.9049104721 |
|
- name: SENTER Recall |
|
type: recall |
|
value: 0.8801372122 |
|
- name: SENTER F Score |
|
type: f_score |
|
value: 0.8923519379 |
|
- task: |
|
name: UNLABELED_DEPENDENCIES |
|
type: token-classification |
|
metrics: |
|
- name: Unlabeled Dependencies Accuracy |
|
type: accuracy |
|
value: 0.9186878782 |
|
- task: |
|
name: LABELED_DEPENDENCIES |
|
type: token-classification |
|
metrics: |
|
- name: Labeled Dependencies Accuracy |
|
type: accuracy |
|
value: 0.9186878782 |
|
--- |
|
### Details: https://spacy.io/models/en#en_core_web_md |
|
|
|
English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer. |
|
|
|
| Feature | Description | |
|
| --- | --- | |
|
| **Name** | `en_core_web_md` | |
|
| **Version** | `3.1.0` | |
|
| **spaCy** | `>=3.1.0,<3.2.0` | |
|
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` | |
|
| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` | |
|
| **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) | |
|
| **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (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](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[GloVe Common Crawl](https://nlp.stanford.edu/projects/glove/) (Jeffrey Pennington, Richard Socher, and Christopher D. Manning) | |
|
| **License** | `MIT` | |
|
| **Author** | [Explosion](https://explosion.ai) | |
|
|
|
### Label Scheme |
|
|
|
<details> |
|
|
|
<summary>View label scheme (114 labels for 4 components)</summary> |
|
|
|
| Component | Labels | |
|
| --- | --- | |
|
| **`tagger`** | `<!DOCTYPE html> |
|
<html class= |
|
|
