Procesamiento del Lenguaje Natural
Recuperación de Información
Aplicaciones al dominio biomédico
Aplicaciones al dominio educativo

EDHER-MED: Early Detection of HEalth Risks by textual analysis of MEDical documents
Ministerio de Ciencia e Innovación (PID2022-136522OB-C21)
http://nlp.uned.es/edher-med-project/index.html
SICAMESP: Sistemas interpretables para la clasificación automática de informes médicos en español.
UNED: Programa de ayudas para el desarrollo de proyectos de investigación UNED Talento Joven 2023

1. Araujo, L., Lopez-Ostenero, F., Plaza, L., & Martinez-Romo, J. (2025). Automated formative feedback for algorithm and data structure self-assessment. Electronics, 14(5), 1034. https://doi.org/10.3390/electronics14051034
2. Duque, A., Araujo, L., Martinez-Romo, J., Esteban-Vasallo, M. D., Domínguez-Berjón, M.-F., & Malillos Perez, D. (2025). An
integrated approach for rare disease detection and classification in Spanish pediatric medical reports. Scientific Reports, 15, 37973.
https://doi.org/10.1038/s41598-025-21827-4
3. Martinez-Romo, J., Araujo, L., & Reneses, B. (2025). Guardian-BERT: Early detection of self-injury and suicidal signs with language technologies in electronic health reports. Computers in Biology and Medicine, 186, 109701. https://doi.org/10.1016/j.compbiomed.2025.109701
4. Sánchez de Castro, A., Araujo, L., & Martínez-Romo, J. (2025). A novel methodology for enhancing cross-language and domain adaptability in temporal expression normalization. Computational Linguistics, 51(4), 1303–1335. https://doi.org/10.1162/coli.a.12
5. Martinez-Rico, J. R., Araujo, L., & Martinez-Romo, J. (2024). Building a framework for fake news detection in the health domain. PLOS ONE, 19(7), e0305362. https://doi.org/10.1371/journal.pone.0305362
6. Sánchez de Castro, A., Araujo, L., & Martinez-Romo, J. (2024). Generative LLMs for multilingual temporal expression normalization. En ECAI 2024 (pp. 3789–3796). IOS Press. https://doi.org/10.3233/FAIA240940
7. Fabregat, H., Duque, A., Martínez-Romo, J., & Araujo, L. (2023). Negation-based transfer learning for improving biomedical named entity recognition and relation extraction. Journal of Biomedical Informatics, 138, 104279. https://doi.org/10.1016/j.jbi.2022.104279
8. Araujo, L., Martinez-Romo, J., Bisbal, O., & Sanchez-de-Madariaga, R. (2022). Discovering HIV related information by means of association rules and machine learning. Scientific Reports, 12, 18208. https://doi.org/10.1038/s41598-022-22695-y
9. Sánchez-de-Madariaga, R., Martinez-Romo, J., Cantero Escribano, J. M., & Araujo, L. (2022). Semi-supervised incremental learning with few examples for discovering medical association rules. BMC Medical Informatics and Decision Making, 22, 20. https://doi.org/10.1186/s12911-022-01755-3
10. Duque, A., Fabregat, H., Araujo, L., & Martinez-Romo, J. (2021). A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports. Artificial Intelligence in Medicine, 121, 102177. https://doi.org/10.1016/j.artmed.2021.102177

• Técnicas de procesamiento del lenguaje: extracción de información de textos, clasificación de documentos, agrupamiento de documentos, grandes modelos de lenguaje.
• IA generativa aplicada a problemas de procesamiento del lenguaje y del dominio médico
• Aprendizaje automático, deep learning y transformers
• Métodos heurísticos de búsqueda y optimización

• Equipos personales
• Servidores del departamento de Lenguajes y Sistemas Informáticos