1 code implementation • 17 May 2019 • Jose Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa-Anke, Francesco Barbieri, Steven Schockaert
Cross-lingual embeddings represent the meaning of words from different languages in the same vector space.
no code implementations • 2 Jul 2020 • Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera
The prospective matching of federated learning and differential privacy to the challenges of data privacy protection has caused the release of several software tools that support their functionalities, but they lack of the needed unified vision for those techniques, and a methodological workflow that support their use.
1 code implementation • 29 Jul 2020 • Nuria Rodríguez-Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón, Francisco Herrera
We propose a dynamic federated aggregation operator that dynamically discards those adversarial clients and allows to prevent the corruption of the global learning model.
1 code implementation • 31 Jul 2020 • Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera
We claim that the use of sentiment analysis will allow decision making models to consider expert evaluations in natural language.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 20 Jan 2022 • Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-preservation demands in artificial intelligence.
1 code implementation • 29 Jun 2022 • Jose Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa-Anke, Fangyu Liu, Eugenio Martínez-Cámara, Gonzalo Medina, Thomas Buhrmann, Leonardo Neves, Francesco Barbieri
In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media.