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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.