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NER_FEDA_Latin1
creat89/NER_FEDA_Latin1
NER_FEDA_Latin1 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
- 929ca8fe
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)
- SlavNER 17 (LOC, MISC, ORG, PER)
- SSJ500k (LOC, MISC, ORG, PER)
- KPWr (EVT, LOC, ORG, PER, PRO)
- CNEC (LOC, ORG, MEDIA, ART, PER, TIME)
- 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
You can select the tagset to use in the output by configuring the model.
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, cs, pl, sl, fi
- Created
- Mar 2, 2022
- Updated
- Apr 13, 2022