Reconocimiento de entidades biomédicas en español combinando word embedding
ISSN: 1135-5948
Año de publicación: 2022
Número: 68
Páginas: 149-153
Tipo: Artículo
Otras publicaciones en: Procesamiento del lenguaje natural
Resumen
This is a summary of the Ph.D. thesis written by Pilar López Úbeda at Universidad de Jaén under the supervision of PhD. M. Teresa Martín Valdivia, Ph.D. L. Alfonso Ureña López and PhD. Manuel Carlos Díaz Galiano. The defense was held in Jaén on April 22, 2021. The doctoral committee was integrated by PhD. Rafael Muñoz Guillena from Universidad de Alicante, PhD. Paloma Martínez Fernández from Universidad Carlos III de Madrid, and Manuel Montes y Gómez from National Institute of Astrophysics, Optics and Electronics (Mexico). The thesis obtained the grade of Summa Cum Laude and the international mention.
Referencias bibliográficas
- Friedman, C. y S. B. Johnson. 2006. Natural language and text processing in biomedicine. En Biomedical Informatics. Springer, páginas 312–343.
- López Ubeda, P. 2021. Biomedical entities recognition in Spanish combining word embeddings.
- López Úbeda, P., M. C. Díaz Galiano, T. Martín Noguerol, A. Luna, L. A. Ureña López, y M. T. Martín Valdivia. 2020a. Covid 19 detection in radiological text reports integrating entity recognition. Computers in Biology and Medicine, 127:104066.
- López Úbeda, P., M. C. Díaz Galiano, T. Martín Noguerol, A. Ureña López, M.T. Martın Valdivia, y A. Luna. 2020b. Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches. Expert Systems with Applications, 160:113647.
- López Úbeda, P., M. Díaz Galiano, M. T. Martın Valdivia, y L. A. Ureña López. 2020c. Extracting neoplasms morphology mentions in Spanish clinical cases through word embeddings. Proceedings of IberLEF.
- López Úbeda, P., J. M. Perea Ortega, M. C. Díaz Galianoa, M. T. Martın Valdivia, y L. A. Ureña López. 2020. Sinai at eHealth challenge 2020: Combining word embeddings for named entity recognition in Spanish medical records.