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Javier de la Rosa (ORCID: 0000-0002-9143-5573)
Javier de la Rosa (ORCID: 0000-0002-9143-5573)
Research Scientist, National Library of Norway
Dirección de correo verificada de nb.no
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
11302023
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
H Laurençon, L Saulnier, T Wang, C Akiki, A Villanova del Moral, ...
Advances in Neural Information Processing Systems 35, 31809-31826, 2022
1012022
Operationalizing a national digital library: The case for a norwegian transformer model
PE Kummervold, J De la Rosa, F Wetjen, SA Brygfjeld
Proceedings of the 23rd Nordic Conference on Computational Linguistics …, 2021
702021
BERTIN: Efficient Pre-training of a Spanish Language Model using Perplexity Sampling
J De la Rosa, EG Ponferrada, P Villegas, PGP Salas, M Romero, ...
Sociedad Española para el Procesamiento del Lenguaje Natural 2022 (68), 13--23, 2022
542022
A quantitative approach to beauty. Perceived attractiveness of human faces in world painting
J De La Rosa, JL Suárez
International Journal for Digital Art History, 2015
252015
Rantanplan, fast and accurate syllabification and scansion of Spanish poetry
J De la Rosa, Á Pérez, L Hernández, S Ros, E González-Blanco
Procesamiento del Lenguaje Natural 65, 83-90, 2020
192020
Overview—The social media data processing pipeline
DM Brown, A Soto-Corominas, JL Surez, J de la Rosa
The SAGE handbook of social media research methods, 125-145, 2017
142017
The life of Lazarillo de Tormes and of his machine learning adversities
J de la Rosa, JL Suárez
Lemir: Revista de Literatura Española Medieval y del Renacimiento 20, 373--438, 2016
142016
Sustaining a global community: Art and religion in the network of baroque hispanicamerican paintings
JL Suárez, F Sancho, J De la Rosa
Leonardo 45 (3), 281-281, 2012
132012
Transformers analyzing poetry: multilingual metrical pattern prediction with transfomer-based language models
J De la Rosa, Á Pérez, M De Sisto, L Hernández, A Díaz, S Ros, ...
Neural Computing and Applications, 1-6, 2021
122021
SylvaDB: A polyglot and multi-backend graph database management system
J de la Rosa, JL Suárez, FS Caparrini
International Conference on Data Management Technologies and Applications 2 …, 2013
112013
The Norwegian colossal corpus: A text corpus for training large Norwegian language models
P Kummervold, F Wetjen, J De la Rosa
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
102022
Automated metric analysis of Spanish poetry: Two complementary approaches
G Marco, J De La Rosa, J Gonzalo, S Ros, E González-Blanco
IEEE Access 9, 51734-51746, 2021
82021
The Role of Emotions in the Characters of Pedro Calderón de la Barca’s autos sacramentales
J de la Rosa, A Soto-Corominas, JL Suárez
Emotion and the Seduction of the Senses, Baroque to Neo-Baroque 7, 99, 2018
82018
A bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry
Á Pérez Pozo, J de la Rosa, S Ros, E González‐Blanco, L Hernández, ...
Journal of the Association for Information Science and Technology 73 (2 …, 2022
72022
Zero-shot Reading Comprehension and Reasoning for Spanish with BERTIN GPT-J-6B
J De la Rosa, A Fernández
Iberian Languages Evaluation Forum (IberLEF 2022) at SEPLN 2022, A Coruña …, 2022
62022
Entities, dates, and languages: Zero-shot on historical texts with t0
F De Toni, C Akiki, J De La Rosa, C Fourrier, E Manjavacas, S Schweter, ...
arXiv preprint arXiv:2204.05211, 2022
62022
Boosting Norwegian Automatic Speech Recognition
J De la Rosa, RA Braaten, PE Kummervold, F Wetjen, SA Brygfjeld
Proceedings of the 24th Nordic Conference on Computational Linguistics …, 2023
52023
Description of Postdata Poetry Ontology V1. 0
MLD Platas, H Bermúdez, S Ros, E González-Blanco, O Corcho, ...
Plotting Poetry: Plotting Poetry: On Mechanically-Enhanced Reading, 2021
42021
The futility of STILTs for the classification of lexical borrowings in Spanish
J De la Rosa
arXiv preprint arXiv:2109.08607, 2021
3*2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20