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

  Authors

Ljubešić, Nikola

  Item identifier

http://hdl.handle.net/11356/1341

 Project URL

https://github.com/clarinsi/classla-stanfordnlp

 Referenced by

http://dx.doi.org/10.18653/v1/W19-3704

 Date issued

2020-08-07

 Type

toolService

 Language(s)

Serbian

 Description

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 (http://hdl.handle.net/11356/1200), the 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.

 Publisher

Jožef Stefan Institute

 Acknowledgement

ARRS (Slovenian Research Agency) P6-0411 "Language Resources and Technologies for Slovene"

ARRS (Slovenian Research Agency) N6-0099 "LiLaH: Linguistic Landscape of Hate Speech"

 Subject(s)

named entity recognition computer-mediated communication language model

 Collection(s)

CLARIN.SI data & tools

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