Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Dutch
Size:
10M - 100M
Tags:
medical
License:
Update README.md
Browse files
README.md
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@@ -19,6 +19,7 @@ and *soft* positive term pairs by
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We expand this with negative term pairs by random sampling, followed by selecting the top-N most dissimilar terms with (sim<0.25)
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* using [BioLORD 2023 M Dutch](https://huggingface.co/FremyCompany/BioLORD-2023-M-Dutch-InContext-v1)
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* using [RotatE graph embedding](https://arxiv.org/abs/1902.10197)
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We further expand these lists using LLMs.
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We expand this with negative term pairs by random sampling, followed by selecting the top-N most dissimilar terms with (sim<0.25)
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* using [BioLORD 2023 M Dutch](https://huggingface.co/FremyCompany/BioLORD-2023-M-Dutch-InContext-v1)
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* using [sapMedRoBERTa.nl](https://huggingface.co/UMCU/sap_umls_medroberta.nl_meantoken)
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* using [RotatE graph embedding](https://arxiv.org/abs/1902.10197)
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We further expand these lists using LLMs.
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