Renzo M. Rivera Zavala
Renzo M. Rivera Zavala
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A two-stage deep learning approach for extracting entities and relationships from medical texts
V Suárez-Paniagua, RMR Zavala, I Segura-Bedmar, P Martínez
Journal of biomedical informatics 99, 103285, 2019
The impact of pretrained language models on negation and speculation detection in cross-lingual medical text: comparative study
RR Zavala, P Martinez
JMIR medical informatics 8 (12), e18953, 2020
A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents.
RMR Zavala, P Martínez, I Segura-Bedmar
TASS@ SEPLN, 65-70, 2018
Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization
RM Rivera-Zavala, P Martínez
BMC bioinformatics 22, 1-23, 2021
Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text
R Rivera, P Martínez
Proceedings of the 5th Workshop on BioNLP Open Shared Tasks, 38-46, 2019
Deep neural model with contextualized-word embeddings for named entity recognition in spanish clin ical text
R Rivera-Zavalaa, P Martineza
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), Málaga …, 2020
A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts.
RMR Zavala, P Martinez, I Segura-Bedmar
IberEval@ SEPLN, 44-52, 2018
Automatic extraction of medication mentions from tweets—overview of the biocreative VII shared task 3 competition
D Weissenbacher, K O’Connor, S Rawal, Y Zhang, RTH Tsai, T Miller, ...
Database 2023, baac108, 2023
UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition
E Schneider, RM Rivera-Zavala, P Martínez, C Moro, EC Paraiso
Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022
Creating domain specific embeddings to work with imbalanced datasets in automatic extraction of medication names in tweets
RR Zavala, P Martinez, JL Martinez
Proceedings of the BioCreative VII Challenge Evaluation Workshop, 2021
The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study.
P Martinez
JMIR Medical Informatics 8 (12), e18953-e18953, 2020
Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical Text.
RMR Zavala, P Martínez
IberLEF@ SEPLN, 385-395, 2020
SEL Blog
RR Zavala
Leer 22, 22, 2018
Planificación Automática en la Era Digital: Aplicaciones Actuales y Futuras
RR Zavala
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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