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