RuBERT-MultiCoNER

This is a BERT-based named entity recognizer for extracting named entities in Russian texts. Entities of the following six classes can be recognized:

  1. Persons, i.e. names of people (PER)
  2. Locations or physical facilities (LOC)
  3. Corporations and businesses (CORP)
  4. All other groups (GRP)
  5. Consumer products (PROD)
  6. Titles of creative works like movie, song, and book titles (CW).
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F32
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Dataset used to train bond005/rubert-multiconer