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README.md
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print(cos_sim(all_embs[0].unsqueeze(0), all_embs))
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# >>> tensor([[1.0000, 0.9337, 0.6206, 0.2086]])
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```
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print(cos_sim(all_embs[0].unsqueeze(0), all_embs))
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# >>> tensor([[1.0000, 0.9337, 0.6206, 0.2086]])
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```
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# BibTeX
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```bash
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@inproceedings{mustafa-etal-2024-leveraging,
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title = "Leveraging {W}ikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for {G}erman",
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author = "Mustafa, Faizan E and
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Dima, Corina and
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Ochoa, Juan and
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Staab, Steffen",
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booktitle = "Proceedings of the 6th Clinical Natural Language Processing Workshop",
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month = jun,
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year = "2024",
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address = "Mexico City, Mexico",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2024.clinicalnlp-1.17",
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pages = "202--207",
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```
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