FremyCompany
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README.md
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@@ -68,16 +68,18 @@ You can also take a look at last year's model and paper:
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This model accompanies the [BioLORD-2023: Learning Ontological Representations from Definitions](https://arxiv.org/abs/2311.16075) paper. When you use this model, please cite the original paper as follows:
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```latex
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```
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## Usage (Sentence-Transformers)
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This model accompanies the [BioLORD-2023: Learning Ontological Representations from Definitions](https://arxiv.org/abs/2311.16075) paper. When you use this model, please cite the original paper as follows:
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```latex
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@article{remy-etal-2023-biolord,
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author = {Remy, François and Demuynck, Kris and Demeester, Thomas},
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title = "{BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights}",
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journal = {Journal of the American Medical Informatics Association},
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pages = {ocae029},
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year = {2024},
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month = {02},
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issn = {1527-974X},
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doi = {10.1093/jamia/ocae029},
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url = {https://doi.org/10.1093/jamia/ocae029},
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eprint = {https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae029/56772025/ocae029.pdf},
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}
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```
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## Usage (Sentence-Transformers)
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