2 citations · 3 across the 3 of their papers we have counts for
4 papers
Exploring Dimensionality Reduction Techniques in Multilingual Transformers
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato +1
Both in scientific literature and in industry,, Semantic and context-aware Natural Language Processing-based solutions have been gaining importance in recent years. The possibiliti…
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference
Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García +2
Our society produces and shares overwhelming amounts of information through Online Social Networks (OSNs). Within this environment, misinformation and disinformation have prolifera…
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato, Alejandro Martín, David Camacho
The ability of transformers to perform precision tasks such as question answering, Natural Language Inference (NLI) or summarising, have enabled them to be ranked as one of the bes…
Fusing CNNs and statistical indicators to improve image classification
Javier Huertas-Tato, Alejandro Martín, Julián Fierrez +1
Convolutional Networks have dominated the field of computer vision for the last ten years, exhibiting extremely powerful feature extraction capabilities and outstanding classificat…