ClinText-SP and RigoBERTa Clinical: a new set of open resources for Spanish Clinical NLP

We present a novel contribution to Spanish clinical natural language processing by introducing the largest publicly available clinical corpus, ClinText-SP, along with a state-of-the-art clinical encoder language model, RigoBERTa Clinical. Our corpus was meticulously curated from diverse open sources, including clinical cases from medical journals and annotated corpora from shared tasks, providing a rich and diverse dataset that was previously difficult to access. RigoBERTa Clinical, developed through domain-adaptive pretraining on this comprehensive dataset, significantly outperforms existing models on multiple clinical NLP benchmarks. By publicly releasing both the dataset and the model, we aim to empower the research community with robust resources that can drive further advancements in clinical NLP and ultimately contribute to improved healthcare applications.

Publication Details

Journal
ArXiv.org
Published
2025-03-24
Primary Topic
Machine Learning in Healthcare
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article
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article

ClinText-SP and RigoBERTa Clinical: a new set of open resources for Spanish Clinical NLP

ArXiv.org
Machine Learning in Healthcare
article

ClinText-SP and RigoBERTa Clinical: a new set of open resources for Spanish Clinical NLP

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Abstract

We present a novel contribution to Spanish clinical natural language processing by introducing the largest publicly available clinical corpus, ClinText-SP, along with a state-of-the-art clinical encoder language model, RigoBERTa Clinical. Our corpus was meticulously curated from diverse open sources, including clinical cases from medical journals and annotated corpora from shared tasks, providing a rich and diverse dataset that was previously difficult to access. RigoBERTa Clinical, developed through domain-adaptive pretraining on this comprehensive dataset, significantly outperforms existing models on multiple clinical NLP benchmarks. By publicly releasing both the dataset and the model, we aim to empower the research community with robust resources that can drive further advancements in clinical NLP and ultimately contribute to improved healthcare applications.

ArXiv.org
Quality Education
Openalex Percentile: Top 73%
Machine Learning in Healthcare
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ClinText-SP and RigoBERTa Clinical: a new set of open resources for Spanish Clinical NLP · ArXiv.org (2025) | TGRS Research Map | TGRS