HiTZ
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Token Classification
Transformers
Safetensors
deberta-v2
question-answering
Inference Endpoints
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@@ -70,5 +70,19 @@ The following hyperparameters were used during training:
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  - Datasets 2.16.1
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  - Tokenizers 0.15.2
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  **Contact**: [Iakes Goenaga](http://www.hitz.eus/es/node/65) and [Rodrigo Agerri](https://ragerri.github.io/)
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  HiTZ Center - Ixa, University of the Basque Country UPV/EHU
 
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  - Datasets 2.16.1
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  - Tokenizers 0.15.2
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+ ## Citation
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+
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+ If you use this model please **cite the following paper**:
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+
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+ ```bibtex
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+ @misc{goenaga2023explanatory,
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+ title={Explanatory Argument Extraction of Correct Answers in Resident Medical Exams},
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+ author={Iakes Goenaga and Aitziber Atutxa and Koldo Gojenola and Maite Oronoz and Rodrigo Agerri},
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+ year={2023},
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+ eprint={2312.00567},
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+ archivePrefix={arXiv}
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+ }
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+ ```
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+
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  **Contact**: [Iakes Goenaga](http://www.hitz.eus/es/node/65) and [Rodrigo Agerri](https://ragerri.github.io/)
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  HiTZ Center - Ixa, University of the Basque Country UPV/EHU