Datasets:
Tasks:
Token Classification
Modalities:
Text
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
abbreviation-detection
License:
Commit
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Parent(s):
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README.md
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### Model(s)
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- [RoBERTa-Large (Unfiltered)](https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr)
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- [RoBERTa-Base (Filtered)](https://huggingface.co/surrey-nlp/roberta-base-finetuned-abbr)
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On the link provided above, the model(s) can be used with the help of the Inference API via the web-browser itself. We have placed some examples with the API for testing.<br/>
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### Model(s)
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Our best performing models are hosted on the HuggingFace models repository:
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| Models | [`PLOD - Unfiltered`](https://huggingface.co/datasets/surrey-nlp/PLOD-unfiltered) | [`PLOD - Filtered`](https://huggingface.co/datasets/surrey-nlp/PLOD-filtered) | Description |
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| --- | :---: | :---: | --- |
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| [RoBERTa<sub>large</sub>](https://huggingface.co/roberta-large) | [RoBERTa<sub>large</sub>-finetuned-abbr](https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr) | -soon- | Fine-tuning on the RoBERTa<sub>large</sub> language model |
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| [RoBERTa<sub>base</sub>](https://huggingface.co/roberta-base) | -soon- | [RoBERTa<sub>base</sub>-finetuned-abbr](https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr) | Fine-tuning on the RoBERTa<sub>base</sub> language model |
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| [AlBERT<sub>large-v2</sub>](https://huggingface.co/albert-large-v2) | [AlBERT<sub>large-v2</sub>-finetuned-abbDet](https://huggingface.co/surrey-nlp/albert-large-v2-finetuned-abbDet) | -soon- | Fine-tuning on the AlBERT<sub>large-v2</sub> language model |
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On the link provided above, the model(s) can be used with the help of the Inference API via the web-browser itself. We have placed some examples with the API for testing.<br/>
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