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@@ -30,16 +30,15 @@ For more details about the dataset, methodology, and experiments, you can refer
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  If you use this dataset, please cite the following paper:
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  ```
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- @INPROCEEDINGS{10711128,
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- author={İncidelen, Mert and Aydoğan, Murat},
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- booktitle={2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)},
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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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- year={2024},
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- volume={},
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- number={},
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- pages={1-4},
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- keywords={Training;Adaptation models;Natural languages;Focusing;Encyclopedias;Transformers;Data models;Internet;Online services;Text processing;Natural Language Processing;Medical Domain;BERTurk;Question-Answering},
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- doi={10.1109/IDAP64064.2024.10711128}}
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  ```
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  ---
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  ## Dataset Overview
 
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  If you use this dataset, please cite the following paper:
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  ```
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+ @article{incidelen15sentiment,
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+ title={Sentiment Analysis in Turkish Using Language Models: A Comparative Study},
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+ author={{\.I}ncidelen, Mert and Aydo{\u{g}}an, Murat},
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+ journal={European Journal of Technique (EJT)},
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+ volume={15},
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+ number={1},
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+ pages={68--74},
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+ publisher={Hibetullah KILI{\c{C}}}
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+ }
 
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  ```
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  ---
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  ## Dataset Overview