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@@ -1092,11 +1092,12 @@ The author would like to thank Prince Sultan University for their invaluable sup
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  If you use the Arabic Matryoshka Embeddings Model, please cite it as follows:
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- ```bibtex
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- @software{nacar2024,
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- author = {Omer Nacar},
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- title = {Arabic Matryoshka Embeddings Model - Arabic Mpnet Base All Nli Triplet},
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- year = 2024,
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- url = {https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet},
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- version = {1.0.0},
 
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  }
 
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  If you use the Arabic Matryoshka Embeddings Model, please cite it as follows:
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+ @misc{nacar2024enhancingsemanticsimilarityunderstanding,
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+ title={Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning},
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+ author={Omer Nacar and Anis Koubaa},
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+ year={2024},
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+ eprint={2407.21139},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2407.21139},
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  }