--- license: cc-by-nc-sa-3.0 language: - bg metrics: - accuracy library_name: spacy pipeline_tag: token-classification model-index: - name: bg_news_lg results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9090909091 - name: NER Recall type: recall value: 0.8773461371 - name: NER F Score type: f_score value: 0.8929364727 - task: name: TAG type: token-classification metrics: - name: TAG (XPOS) Accuracy type: accuracy value: 0.9565136361 - task: name: POS type: token-classification metrics: - name: POS (UPOS) Accuracy type: accuracy value: 0.9858305885 - task: name: MORPH type: token-classification metrics: - name: Morph (UFeats) Accuracy type: accuracy value: 0.9645896751 - task: name: LEMMA type: token-classification metrics: - name: Lemma Accuracy type: accuracy value: 0.9271110013 - task: name: UNLABELED_DEPENDENCIES type: token-classification metrics: - name: Unlabeled Attachment Score (UAS) type: f_score value: 0.9016132533 - task: name: LABELED_DEPENDENCIES type: token-classification metrics: - name: Labeled Attachment Score (LAS) type: f_score value: 0.8459063799 - task: name: SENTS type: token-classification metrics: - name: Sentences F-Score type: f_score value: 0.939802336 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](https://github.com/UniversalDependencies/UD_Bulgarian-BTB) (Kiril Simov and Petya Osenova) | | **License** | CC-BY-NC-SA-3.0 | | **Author** | [Ivaylo Sakelariev](https://github.com/sakelariev) | Bulgarian large sized pipeline for BGspaCy. Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner