The CLASSLA-StanfordNLP model for named entity recognition of non-standard Serbian 1.0

This model for named entity recognition of non-standard Serbian was built with the [CLASSLA-StanfordNLP tool](https://github.com/clarinsi/classla-stanfordnlp) by training on the [SETimes.SR training corpus/a\>, the](http://hdl.handle.net/11356/1200)[hr500k training corpus](http://hdl.handle.net/11356/1183), the [ReLDI-NormTagNER-sr corpus](http://hdl.handle.net/11356/1240), and the [ReLDI-NormTagNER-hr corpus](http://hdl.handle.net/11356/1241), using the [CLARIN.SI-embed.sr word embeddings](http://hdl.handle.net/11356/1206). The training corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed.
The model is available for download from the CLARIN.SI repository.