Zobrazeno 1 - 10
of 98
pro vyhledávání: '"L. Alfonso Ureña-López"'
Autor:
Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S1, Pp 1-17 (2021)
Abstract Background Natural language processing (NLP) and text mining technologies for the extraction and indexing of chemical and drug entities are key to improving the access and integration of information from unstructured data such as biomedical
Externí odkaz:
https://doaj.org/article/4baebaecfa3145d99217f629fa37915f
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:
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:
M. Dolores Molina-González, María Teresa Martín-Valdivia, Flor Miriam Plaza-del-Arco, L. Alfonso Ureña-López
Publikováno v:
IEEE Access, Vol 9, Pp 112478-112489 (2021)
The rise of social media platforms has significantly changed the way our world communicates, and part of those changes includes a rise in inappropriate behaviors, such as the use of aggressive and hateful language online. Detecting such content is cr
Autor:
Mariia Chizhikova, Pilar López-Úbeda, Jaime Collado-Montañez, Teodoro Martín-Noguerol, Manuel C. Díaz-Galiano, Antonio Luna, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia
Publikováno v:
Computers in Biology and Medicine. 154:106581
Publikováno v:
Future Generation Computer Systems. 110:1000-1008
Emotions play an important role in human intelligence and behaviour and are a major vehicle for communication. Therefore, the integration of emotions in computational models can improve the human–computer interaction systems. In this paper, we pres
Autor:
L. Alfonso Ureña-López, M. Dolores Molina-González, M. Teresa Martín-Valdivia, Flor Miriam Plaza-del-Arco
Publikováno v:
ACM Transactions on Internet Technology. 20:1-19
Today, misogyny and xenophobia are some of the most important social problems. With the increase in the use of social media, this feeling of hatred toward women and immigrants can be more easily expressed, and therefore it can have harmful effects on
Autor:
Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, L. Alfonso Ureña-López, María-Teresa Martín-Valdivia
Publikováno v:
Knowledge-Based Systems. 258:109965
Autor:
Salud M. Jiménez Zafra, Eugenio Martínez Cámara, L. Alfonso Ureña López, M. Teresa Martin Valdivia
Publikováno v:
IEEE Transactions on Affective Computing. 10:129-141
Polarity classification is a well-known Sentiment Analysis task. However, most research has been oriented towards developing supervised or unsupervised systems without paying much attention to certain linguistic phenomena such as negation. In this pa
Autor:
L. Alfonso Ureña-López, M. Dolores Molina-González, M. Teresa Martín-Valdivia, Salud María Jiménez-Zafra
Publikováno v:
Artificial Intelligence in Medicine. 93:50-57
Objective The main goal of this study is to examine how people express their opinion in medical forums. We analyze the language used in order to determine the best way to tackle sentiment analysis in this domain. Methods We have applied supervised le