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---
tags:
- spacy
- token-classification
language:
- sr
model-index:
- name: sr_SRPCNNEL
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9334730579
- name: NER Recall
type: recall
value: 0.9340414017
- name: NER F Score
type: f_score
value: 0.9337571433
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9648654551
---
Named Entity Linking model for Serbian language
| Feature | Description |
| --- | --- |
| **Name** | `sr_SRPCNNEL` |
| **Version** | `1.0.0` |
| **spaCy** | `>=3.5.2,<3.6.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `ner`, `sentencizer`, `entity_linker` |
| **Components** | `tok2vec`, `tagger`, `ner`, `sentencizer`, `entity_linker` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, Olivera Kitanović](https://tesla.rgf.bg.ac.rs/) |
### Label Scheme
<details>
<summary>View label scheme (23 labels for 2 components)</summary>
| Component | Labels |
| --- | --- |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `VERB`, `X` |
| **`ner`** | `DEMO`, `EVENT`, `LOC`, `ORG`, `PERS`, `ROLE`, `WORK` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TAG_ACC` | 96.49 |
| `ENTS_F` | 93.38 |
| `ENTS_P` | 93.35 |
| `ENTS_R` | 93.40 |
| `TOK2VEC_LOSS` | 205472.21 |
| `TAGGER_LOSS` | 502844.65 |
| `NER_LOSS` | 148170.50 | |