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- ---
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- license: cc-by-nc-nd-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-nd-4.0
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+ task_categories:
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+ - question-answering
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+ language:
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+ - tr
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+ tags:
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+ - medical
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+ pretty_name: d
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+ size_categories:
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+ - 1K<n<10K
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+ paper: https://ieeexplore.ieee.org/abstract/document/10711128
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+ citation: |
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+ @inproceedings{incidelen2024developing,
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+ title={Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches},
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+ author={{\.I}ncidelen, Mert and Aydo{\u{g}}an, Murat},
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+ booktitle={2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)},
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+ pages={1--4},
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+ year={2024},
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+ organization={IEEE}
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+ }
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+ ---