ScandiNER Named Entity Recognition model for Scandinavian Languages Check out a demo of the model here. This model is a fine tuned version of NbAiLab/nb bert base for Named Entity Recognition for Danish, Norwegian (both Bokmål and Nynorsk), Swedish, Icelandic and Faroese. It has been fine tuned on the concatenation of DaNE, NorNE, SUC 3.0 and the Icelandic and Faroese parts of the WikiANN dataset. It also works reasonably well on English sentences, given the fact that the pretrained model is also trained on English data along with Scandinavian languages. The model will predict the following four entities: Tag Name Description : : : PER Person The name of a person (e.g., Birgitte and Mohammed ) LOC Location The name of a location (e.g., Tyskland and Djurgården ) ORG Organisation The name of an organisation (e.g., Bunnpris and Landsbankinn ) MISC Miscellaneous A named entity of a different kind (e.g., Ūjķnustu pund and Mona Lisa ) Quick start You can use this model in your scripts as follows: Performance The following is the Micro F1 NER performance on Scandinavian NER test datasets, compared with the current state of the art. The models have been evaluated on the test set along with…
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