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license: mit
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---
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license: mit
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language:
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- multilingual
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- ru
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tags:
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- rubert
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- ner
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---
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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:
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1. Wikiann (LOC, PER, ORG)
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2. SlavNER 19/21 (EVT, LOC, ORG, PER, PRO)
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4. CNE5 (GEOPOLIT, LOC, MEDIA, PER, ORG)
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5. FactRuEval (LOC, ORG, PER)
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7. Turku (DATE, EVT, LOC, ORG, PER, PRO, TIME)
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PER: person, LOC: location, ORG: organization, EVT: event, PRO: product, MISC: Miscellaneous, MEDIA: media, ART: Artifact, TIME: time, DATE: date, GEOPOLIT: Geopolitical,
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You can select the tagset to use in the output by configuring the model. This models manages differently uppercase words.
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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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