Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Arturo Montejo Ráez"'
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4859 (2022)
Artificial Intelligence has gained a lot of popularity in recent years thanks to the advent of, mainly, Deep Learning techniques [...]
Externí odkaz:
https://doaj.org/article/ebfb1a1847c94b12bf65db70d8b3e815
Autor:
Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Martínez-Santiago, L. Alfonso Ureña-López
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3184 (2021)
Deep neural networks are hegemonic approaches to many machine learning areas, including natural language processing (NLP). Thanks to the availability of large corpora collections and the capability of deep architectures to shape internal language mec
Externí odkaz:
https://doaj.org/article/88c239538a59450fa8414f47b921aa26
Autor:
César Espin-Riofrio, María Pazmiño-Rosales, Carlos Aucapiña-Camas, Verónica Mendoza-Morán, Arturo Montejo-Ráez
Publikováno v:
Smart Technologies, Systems and Applications ISBN: 9783031322129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7b6dfdf4aa2b4f4b2543a6467e8bf75
https://doi.org/10.1007/978-3-031-32213-6_12
https://doi.org/10.1007/978-3-031-32213-6_12
The study of bias in language models is a growing area of work, however, both research and resources are focused on English. In this paper, we make a first approach focusing on gender bias in some freely available Spanish language models trained usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc008f87cd0dde79448a444de33539ba
https://doi.org/10.21203/rs.3.rs-2256074/v1
https://doi.org/10.21203/rs.3.rs-2256074/v1
Autor:
Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Arturo Montejo-Ráez, María-Teresa Martín-Valdivia, L. Alfonso Ureña-López
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1726 (2020)
In this paper a novel architecture to build biomedical term identification systems is presented. The architecture combines several sources of information and knowledge bases to provide practical and exploration-enabled biomedical term identification
Externí odkaz:
https://doaj.org/article/e674c15c1ab64bbea6f58936e96c7e1d
Autor:
Nicolás Gutiérrez-Palma, Fernando Martínez-Santiago, Alejandro A. Torres-García, Arturo Montejo-Ráez
Publikováno v:
Universal Access in the Information Society. 22:51-67
Given an information need and the corresponding set of documents retrieved, it is known that user assessments for such documents differ from one user to another. One frequent reason that is put forward is the discordance between text complexity and u
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 120
Identifying which words present in a text may be difficult to understand by common readers is a well-known subtask in text complexity analysis. The advent of deep language models has also established the new state-of-the-art in this task by means of
Autor:
Javier M. Antelis, Omar Avalos, María Lucía Barrón-Estrada, Sergio D. Cano Ortiz, Claudia Cruz-Martínez, Bibiana Cuervo-Soto, Jonathan Delijorge, Juan Alfredo Durand Rivera, Hugo Jair Escalante, María A. Filigrana-de-la-Cruz, Rita Q. Fuentes-Aguilar, Jorge Gálvez, Alejandro Garcia-Gonzalez, Jesús S. García-Salinas, Thalía Harmony, Tonatiuh Hernández-Del-Toro, Javier Herrera-Vega, Manuel Hinojosa-Rodríguez, A. Pastor López-Monroy, Mario Mandujano Valdes, Claudia Lizbeth Martínez González, Efraín José Martínez Ortiz, Fernando Martínez-Santiago, Omar Mendoza-Montoya, Luis A. Moctezuma, Marta Molinas, María E. Mónica Carlier, Arturo Montejo-Ráez, Samuel A. Montero-Hernández, Eduardo F. Morales, Jesús Jaime Moreno Escobar, Felipe Orihuela-Espina, Humberto Pérez-Espinosa, Orion F. Reyes-Galaviz, Carlos A. Reyes-García, Michelle Rojas-Cisneros, Alejandro Rosales-Pérez, Humberto Sossa, Alejandro A. Torres-García, Luis Villaseñor-Pineda, Carlos D. Virgilio-G., Fernando Wario, Ramón Zatarain-Cabada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4de11f0bd05ac4a671fcc584adafbd
https://doi.org/10.1016/b978-0-12-820125-1.00006-3
https://doi.org/10.1016/b978-0-12-820125-1.00006-3
Autor:
César Espin-Riofrio, Jorge L. Charco, Johanna Zumba Gamboa, Verónica Mendoza Morán, Arturo Montejo-Ráez
Publikováno v:
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”.