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  # Spanish XLM-R (from NLNDE-MEDDOPROF)
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  This Spanish language model was created for the MEDDOPROF shared task as part of the **NLNDE** team submission and outperformed all other participants in both sequence labeling tasks.
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- Details on the model, the pre-training corpus and the downstream task performance are given in the paper: "Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting" by Lukas Lange, Heike Adel, Jannik Strötgen and Dietrich Klakow.
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  The paper can be found [here](http://ceur-ws.org/Vol-2943/meddoprof_paper1.pdf).
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  In case of questions, please contact the authors as listed on the paper.
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  # Spanish XLM-R (from NLNDE-MEDDOPROF)
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  This Spanish language model was created for the MEDDOPROF shared task as part of the **NLNDE** team submission and outperformed all other participants in both sequence labeling tasks.
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+ Details on the model, the pre-training corpus and the downstream task performance are given in the paper: "Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting" by Lukas Lange, Heike Adel and Jannik Strötgen.
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  The paper can be found [here](http://ceur-ws.org/Vol-2943/meddoprof_paper1.pdf).
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  In case of questions, please contact the authors as listed on the paper.
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