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electra-base-turkish-cased-ner
mys/electra-base-turkish-cased-ner
electra-base-turkish-cased-ner is a token classification model from mys. Use it when you need labels on individual words, such as names. It is set up for transformers.
A NER model for Turkish with 48 categories trained on the dataset Shrinked TWNERTC Turkish NER Data by Behçet Şentürk, which is itself a filtered and cleaned version of the following automatically labeled dataset:
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2020
- SHA
- d1aeabc6
Model card
From the Hugging Face model README
What is this
A NER model for Turkish with 48 categories trained on the dataset Shrinked TWNERTC Turkish NER Data by Behçet Şentürk, which is itself a filtered and cleaned version of the following automatically labeled dataset:
Sahin, H. Bahadir; Eren, Mustafa Tolga; Tirkaz, Caglar; Sonmez, Ozan; Yildiz, Eray (2017), “English/Turkish Wikipedia Named-Entity Recognition and Text Categorization Dataset”, Mendeley Data, v1 http://dx.doi.org/10.17632/cdcztymf4k.1
Backbone model
The backbone model is electra-base-turkish-cased-discriminator, and I finetuned it for token classification.
I'm continuing to figure out if it is possible to improve accuracy with this dataset, but it is already usable for non-critic applications. You can reach out to me on Twitter for discussions and issues. I will also release a notebook to finetune NER models with Shrinked TWNERTC as well as sample inference code to demonstrate what's possible with this model.
- Task
- Token Classification
- Library
- transformers
- Type
- electra
- Languages
- tr
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2020