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DeBERTaSSCCVspanTagger
RJ3vans/DeBERTaSSCCVspanTagger
DeBERTaSSCCVspanTagger is a token classification model from RJ3vans. Use it when you need labels on individual words, such as names. It is set up for transformers.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 14, 2022
- Updated
- Apr 19, 2024
- SHA
- 56dbd170
Try a prompt
Model card
From the Hugging Face model README
Try the test sentences:
My name is Sarah and I live in London[, which] is the largest city in the UK.
John thought [that] that was a strange idea.
It was on Tuesdays [when] Peter took Tess for a walk.
John was so large [that] he had to crouch to fit through the front door.
Please note that it is necessary for you to highlight the left clause boundary using square brackets. When deployed in a text simplification method, this sign tagging step can be performed using the model at https://huggingface.co/RJ3vans/SignTagger.
The model should tag the tokens in the sentence with information about whether or not they are contained within particular types of syntactic constituents. If you find the model useful, please cite my thesis which presents the dataset used for finetuning:
Evans, R. (2020) Sentence Simplification for Text Processing. Doctoral thesis. University of Wolverhampton. Wolverhampton, UK. (https://rj3vans.github.io/Evans2020_SentenceSimplificationForTextProcessing.pdf)
There you will find more information about the tagging scheme.
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Jul 14, 2022
- Updated
- Apr 19, 2024