|
--- |
|
tags: |
|
- spacy |
|
- token-classification |
|
language: |
|
- mk |
|
license: cc-by-sa-4.0 |
|
model-index: |
|
- name: mk_core_news_md |
|
results: |
|
- task: |
|
name: NER |
|
type: token-classification |
|
metrics: |
|
- name: NER Precision |
|
type: precision |
|
value: 0.7373737374 |
|
- name: NER Recall |
|
type: recall |
|
value: 0.7455319149 |
|
- name: NER F Score |
|
type: f_score |
|
value: 0.7414303851 |
|
- task: |
|
name: POS |
|
type: token-classification |
|
metrics: |
|
- name: POS (UPOS) Accuracy |
|
type: accuracy |
|
value: 0.9314809819 |
|
- task: |
|
name: UNLABELED_DEPENDENCIES |
|
type: token-classification |
|
metrics: |
|
- name: Unlabeled Attachment Score (UAS) |
|
type: f_score |
|
value: 0.6836434868 |
|
- task: |
|
name: LABELED_DEPENDENCIES |
|
type: token-classification |
|
metrics: |
|
- name: Labeled Attachment Score (LAS) |
|
type: f_score |
|
value: 0.5190989226 |
|
- task: |
|
name: SENTS |
|
type: token-classification |
|
metrics: |
|
- name: Sentences F-Score |
|
type: f_score |
|
value: 0.6578947368 |
|
--- |
|
### Details: https://spacy.io/models/mk#mk_core_news_md |
|
|
|
Macedonian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. |
|
|
|
| Feature | Description | |
|
| --- | --- | |
|
| **Name** | `mk_core_news_md` | |
|
| **Version** | `3.4.0` | |
|
| **spaCy** | `>=3.4.0,<3.5.0` | |
|
| **Default Pipeline** | `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` | |
|
| **Components** | `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` | |
|
| **Vectors** | 274587 keys, 20000 unique vectors (300 dimensions) | |
|
| **Sources** | [Macedonian Corpus](https://blog.netcetera.com/macedonian-spacy-f3c85484777f) (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) | |
|
| **License** | `CC BY-SA 4.0` | |
|
| **Author** | [Explosion](https://explosion.ai) | |
|
|
|
### Label Scheme |
|
|
|
<details> |
|
|
|
<summary>View label scheme (54 labels for 3 components)</summary> |
|
|
|
| Component | Labels | |
|
| --- | --- | |
|
| **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `POS=ADJ`, `POS=NOUN`, `POS=ADP`, `POS=PUNCT`, `POS=CONJ`, `POS=NUM`, `POS=VERB`, `POS=PRON`, `POS=ADV`, `POS=SCONJ`, `POS=PART`, `POS=SYM`, `_`, `POS=SPACE`, `POS=X`, `POS=INTJ` | |
|
| **`parser`** | `ROOT`, `advmod`, `att`, `aux`, `cc`, `dep`, `det`, `dobj`, `iobj`, `neg`, `nsubj`, `pobj`, `poss`, `pozm`, `pozv`, `prep`, `punct`, `relcl` | |
|
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` | |
|
|
|
</details> |
|
|
|
### Accuracy |
|
|
|
| Type | Score | |
|
| --- | --- | |
|
| `TOKEN_ACC` | 100.00 | |
|
| `TOKEN_P` | 100.00 | |
|
| `TOKEN_R` | 100.00 | |
|
| `TOKEN_F` | 100.00 | |
|
| `SENTS_P` | 66.67 | |
|
| `SENTS_R` | 64.94 | |
|
| `SENTS_F` | 65.79 | |
|
| `DEP_UAS` | 68.36 | |
|
| `DEP_LAS` | 51.91 | |
|
| `ENTS_P` | 73.74 | |
|
| `ENTS_R` | 74.55 | |
|
| `ENTS_F` | 74.14 | |
|
| `POS_ACC` | 93.15 | |
