readme: ---
  license: mit
  language: 
    - multilingual
    - ru
    - bg
    - mk
    - uk
    - fi
  tags:
    - labse
    - ner
  ---
  
  This is a multilingual NER system trained using a Frustratingly Easy Domain Adaptation architecture. It is based on LaBSE and supports different tagsets all using IOBES formats:
  1. Wikiann (LOC, PER, ORG)
  2. SlavNER 19/21 (EVT, LOC, ORG, PER, PRO)
  3. SlavNER 17 (LOC, MISC, ORG, PER)
  4. CNE5 (GEOPOLIT, LOC, MEDIA, PER, ORG)
  5. FactRuEval (LOC, ORG, PER)
  6. NER-UK (LOC, MISC, ORG, PER)
  7. Turku (DATE, EVT, LOC, ORG, PER, PRO, TIME)
  
  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.
  
  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).