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NER_FEDA_Ru
creat89/NER_FEDA_Ru
NER_FEDA_Ru is a machine learning model from creat89. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
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…
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Apr 13, 2022
- SHA
- cdb76605
Model card
From the Hugging Face model README
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:
- Wikiann (LOC, PER, ORG)
- SlavNER 19/21 (EVT, LOC, ORG, PER, PRO)
- CNE5 (GEOPOLIT, LOC, MEDIA, PER, ORG)
- 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).
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- ru
- Created
- Mar 2, 2022
- Updated
- Apr 13, 2022