1 code implementation • SemEval (NAACL) 2022 • Álvaro Huertas-García, Helena Liz, Guillermo Villar-Rodríguez, Alejandro Martín, Javier Huertas-Tato, David Camacho
The main contribution of this paper is the exploration of different late fusion methods to boost the performance of the combination based on the Transformer-based model and Convolutional Neural Networks (CNN) for text and image, respectively.
no code implementations • 15 Feb 2024 • Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
This approach effectively reduces the performance drop in encoder-only models to an average of 5% in offensive language detection and 2% in misinformation detection tasks.
1 code implementation • 27 Dec 2022 • Álvaro Huertas-García, Alejandro Martín, Javier Huertas Tato, David Camacho
In response to this recent ongoing issue, this paper presents an innovative approach to address this linguistic trend in social networks through the simulation of different content evasion techniques and a multilingual Transformer model for content evasion detection.
Multilingual Named Entity Recognition named-entity-recognition +2
no code implementations • 18 Apr 2022 • Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
The results of this study will significantly contribute to the understanding of how different tuning approaches affect performance on semantic-aware tasks and how dimensional reduction techniques deal with the high-dimensional embeddings computed for the STS task and their potential for highly demanding NLP tasks
no code implementations • 27 Oct 2021 • Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
Our society produces and shares overwhelming amounts of information through Online Social Networks (OSNs).
no code implementations • 17 Mar 2021 • Javier Huertas-Tato, Alejandro Martín, David Camacho
In this paper, we propose a new architecture called Siamese Inter-Lingual Transformer (SILT), to efficiently align multilingual embeddings for Natural Language Inference, allowing for unmatched language pairs to be processed.
1 code implementation • 20 Dec 2020 • Javier Huertas-Tato, Alejandro Martín, Julián Fierrez, David Camacho
In this paper, an ensemble method is proposed for accurate image classification, fusing automatically detected features through Convolutional Neural Network architectures with a set of manually defined statistical indicators.