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Pretrained biomedical language models for clinical NLP in Spanish
This work presents the first large-scale biomedical Spanish language models trained from
scratch, using large biomedical corpora consisting of a total of 1.1 B tokens and an EHR …
scratch, using large biomedical corpora consisting of a total of 1.1 B tokens and an EHR …
[PDF][PDF] Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines …
Cancer still represents one of the leading causes of death worldwide, resulting in a
considerable healthcare impact. Recent research efforts from the clinical and molecular …
considerable healthcare impact. Recent research efforts from the clinical and molecular …
[PDF][PDF] Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual …
There is a pressing need for advanced semantic annotation technologies of medical content,
in particular medical publications, clinical trials and clinical records. Search engines and …
in particular medical publications, clinical trials and clinical records. Search engines and …
Biomedical named entity recognition with multilingual BERT
We present the approach of the Turku NLP group to the PharmaCoNER task on Spanish
biomedical named entity recognition. We apply a CRF-based baseline approach and …
biomedical named entity recognition. We apply a CRF-based baseline approach and …
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
Background The large volume of medical literature makes it difficult for healthcare
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
[PDF][PDF] Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020.
Clinical coding requires the analysis and transformation of medical narratives into a
structured or coded format using internationally recognized classification systems like ICD …
structured or coded format using internationally recognized classification systems like ICD …
Biomedical and clinical language models for spanish: On the benefits of domain-specific pretraining in a mid-resource scenario
This work presents biomedical and clinical language models for Spanish by experimenting
with different pretraining choices, such as masking at word and subword level, varying the …
with different pretraining choices, such as masking at word and subword level, varying the …
[PDF][PDF] Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ 2023.
Recent advances in NLP techniques, the use of large language models and Transformers
are showing promising results for processing clinical content. The development of tools for …
are showing promising results for processing clinical content. The development of tools for …