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@@ -7,7 +7,7 @@ MeDa-We was trained on a Danish medical corpus of 123M tokens. The word embeddin
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  The embeddings were trained for 10 epochs using a window size of 5 and 10 negative samples.
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- The development of the corpus and word embeddings is described further in our [paper](https://openreview.net/forum?id=cc9USd2ec-)
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  ### Citing
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  If you find our model helps, please consider citing this :)
 
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  The embeddings were trained for 10 epochs using a window size of 5 and 10 negative samples.
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+ The development of the corpus and word embeddings is described further in our [paper](https://openreview.net/forum?id=cc9USd2ec-).
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  ### Citing
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  If you find our model helps, please consider citing this :)