bert base romanian ner Updated: 21.01.2022 Model description bert base romanian ner is a fine tuned BERT model that is ready to use for Named Entity Recognition and achieves state of the art performance for the NER task. It has been trained to recognize 15 types of entities: persons, geo political entities, locations, organizations, languages, national religious political entities, datetime, period, quantity, money, numeric, ordinal, facilities, works of art and events. Specifically, this model is a bert base romanian cased v1 model that was fine tuned on RONEC version 2.0, which holds 12330 sentences with over 0.5M tokens, to a total of 80.283 distinctly annotated entities. RONECv2 is a BIO2 annotated corpus, meaning this model will generate "B " and "I " style labels for entities. The model will generate labels according to the following list: ['O', 'B PERSON', 'I PERSON', 'B ORG', 'I ORG', 'B GPE', 'I GPE', 'B LOC', 'I LOC', 'B NAT REL POL', 'I NAT REL POL', 'B EVENT', 'I EVENT', 'B LANGUAGE', 'I LANGUAGE', 'B WORK OF ART', 'I WORK OF ART', 'B DATETIME', 'I DATETIME', 'B PERIOD', 'I PERIOD', 'B MONEY', 'I MONEY', 'B QUANTITY', 'I QUANTITY', 'B NUMERIC', 'I NUMERIC', 'B ORDINAL',…
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