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NER_FEDA_Uk
creat89/NER_FEDA_Uk
NER_FEDA_Uk 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 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 1…
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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
- 2769989d
Model card
From the Hugging Face model README
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:
- Wikiann (LOC, PER, ORG)
- SlavNER 19/21 (EVT, LOC, ORG, PER, PRO)
- NER-UK (LOC, MISC, ORG, PER)
- 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. 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
- multilingual, uk
- Created
- Mar 2, 2022
- Updated
- Apr 13, 2022