Tanor
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sr_SRPCNNEL

Token Classification

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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

Label Scheme

View label scheme (23 labels for 2 components)

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`

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

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Inference Examples

Token Classification

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Evaluation results

NER Precision
self-reported

0.933
NER Recall
self-reported

0.934
NER F Score
self-reported

0.934
TAG (XPOS) Accuracy
self-reported

0.965

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