7.1k citations
- Silvia García-Méndez2 profiles24 · h 13
- Francisco J. González‐Castaño20
- Francisco de Arriba-Pérez2 profiles15 · h 7
- A. Ulla2 profiles12 · h 30
- H. Michinel11 · h 23
- Felipe Gil‐Castiñeira10
- Carlos Dafonte7
- David Candal‐Ventureira7
- M. Manteiga2 profiles7 · h 33
- Pablo Fondo‐Ferreiro7
- Ana Fernández Vilas6 · h 23
- D. Tommasini6 · h 15
- Universidade de Santiago de CompostelaES26 papers
- Universidade da CoruñaES21 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Instituto de Astrofísica de CanariasES9 papers
- Universidad de La LagunaES8 papers
- University of LisbonPT8 papers
- Centro de AstrobiologíaES7 papers
- Instituto de Astrofísica de AndalucíaES7 papers
- Universidad de GranadaES7 papers
- University of EdinburghGB7 papers
- University of WarsawPL7 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
13 papers · 2 filters
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Francisco de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera +1
Cognitive and neurological impairments are very common, but only a small proportion of affected individuals are diagnosed and treated, partly because of the high costs associated w…
Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
Francisco de Arriba-Pérez, Silvia García-Méndez
Based on official estimates, 50 million people worldwide are affected by dementia, and this number increases by 10 million new patients every year. Without a cure, clinical prognos…
Predictability and Causality in Spanish and English Natural Language Generation
Andrea Busto-Castiñeira, Francisco J. González-Castaño, Silvia García-Méndez +1
In recent years, the field of Natural Language Generation (NLG) has been boosted by the recent advances in deep learning technologies. Nonetheless, these new data-intensive methods…
Creating emoji lexica from unsupervised sentiment analysis of their descriptions
Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez, Silvia García-Méndez +2
Online media, such as blogs and social networking sites, generate massive volumes of unstructured data of great interest to analyze the opinions and sentiments of individuals and o…
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +2
Financial news items are unstructured sources of information that can be mined to extract knowledge for market screening applications. Manual extraction of relevant information fro…
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +1
Finance-related news such as Bloomberg News, CNN Business and Forbes are valuable sources of real data for market screening systems. In news, an expert shares opinions beyond plain…