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This is a Russian NER system trained using a Frustratingly Easy Domain Adaptation architecture. It is based on RuBERT and supports different tagsets all using IOBES formats:

  1. Wikiann (LOC, PER, ORG)
  2. SlavNER 19/21 (EVT, LOC, ORG, PER, PRO)
  3. CNE5 (GEOPOLIT, LOC, MEDIA, PER, ORG)
  4. FactRuEval (LOC, ORG, PER)

PER: person, LOC: location, ORG: organization, EVT: event, PRO: product, MISC: Miscellaneous, MEDIA: media, ART: Artifact, TIME: time, DATE: date, GEOPOLIT: Geopolitical,

You can select the tagset to use in the output by configuring the model. This models manages differently uppercase words.

More information about the model can be found in the paper (https://aclanthology.org/2021.bsnlp-1.12.pdf) and GitHub repository (https://github.com/EMBEDDIA/NER_FEDA).

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