metadata
license: cc-by-nc-sa-3.0
language:
- bg
metrics:
- accuracy
library_name: spacy
pipeline_tag: token-classification
model-index:
- name: bg_news_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8890829694
- name: NER Recall
type: recall
value: 0.8886948931
- name: NER F Score
type: f_score
value: 0.8888888889
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9702076246
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9897910505
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9764380425
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9404442198
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9349327787
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8934417103
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9241131567
tags:
- ner
- named entity recognition
- spacy
| Feature | Description |
|---|---|
| Name | bg_news_trf |
| Version | 3.5.4 |
| spaCy | >=3.5.4,<3.6.0 |
| Default Pipeline | transformer, tagger, morphologizer, parser, trainable_lemmatizer, ner |
| Components | transformer, tagger, morphologizer, parser, trainable_lemmatizer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | UD_Bulgarian-BTB (Kiril Simov and Petya Osenova) BERT multilingual base model (uncased) (Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova) |
| License | CC-BY-NC-SA-3.0 |
| Author | Ivaylo Sakelariev |
Bulgarian transformers pipeline for BGspaCy. Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner