metadata
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 (Damjan Zlatinov, Melanija Gerasimovska, Borijan Georgievski, Marija Todosovska) spaCy lookups data (Explosion) Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia) (Explosion) |
| License | CC BY-SA 4.0 |
| Author | Explosion |
Label Scheme
View label scheme (54 labels for 3 components)
| 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 |
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 |