96 citations · 592 across the 34 of their papers we have counts for
19 papers · 1 filter
Unraveling Emotions with Pre-Trained Models
Alejandro Pajón-Sanmartín, Francisco De Arriba-Pérez, Silvia García-Méndez +3
Transformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Model…
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
Silvia García-Méndez, Francisco de Arriba-Pérez
Among the many challenges mothers undergo after childbirth, postpartum depression (PPD) is a severe condition that significantly impacts their mental and physical well-being. Conse…
Optimal word order for non-causal text generation with Large Language Models: the Spanish case
Andrea Busto-Castiñeira, Silvia García-Méndez, Francisco de Arriba-Pérez +1
Natural Language Generation (NLG) popularity has increased owing to the progress in Large Language Models (LLMs), with zero-shot inference capabilities. However, most neural system…
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…
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
Silvia García Méndez, Fátima Leal, Benedita Malheiro +4
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…
A System for Automatic English Text Expansion
Silvia García Méndez, Milagros Fernández Gavilanes, Enrique Costa Montenegro +3
We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistic…
Interpretable classification of wiki-review streams
Silvia García Méndez, Fátima Leal, Benedita Malheiro +1
Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourci…
Explainable machine learning multi-label classification of Spanish legal judgements
Francisco de Arriba-Pérez, Silvia García-Méndez, Francisco J. González-Castaño +1
Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain. This has been partially due to the insuffic…
A Library for Automatic Natural Language Generation of Spanish Texts
Silvia García-Méndez, Milagros Fernández-Gavilanes, Enrique Costa-Montenegro +2
In this article we present a novel system for natural language generation (NLG) of Spanish sentences from a minimum set of meaningful words (such as nouns, verbs and adjectives) wh…
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
Jaime González-González, Silvia García-Méndez, Francisco de Arriba-Pérez +2
Concerns about the effect of greenhouse gases have motivated the development of certification protocols to quantify the industrial carbon footprint (CF). These protocols are manual…
A review on the use of large language models as virtual tutors
Silvia García-Méndez, Francisco de Arriba-Pérez, María del Carmen Somoza-López
Transformer architectures contribute to managing long-term dependencies for Natural Language Processing, representing one of the most recent changes in the field. These architectur…
Exposing and Explaining Fake News On-the-Fly
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal +2
Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data…
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…
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
Jaime González-González, Francisco de Arriba-Pérez, Silvia García-Méndez +2
Automatic legal text classification systems have been proposed in the literature to address knowledge extraction from judgments and detect their aspects. However, most of these sys…
Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño +2
Current language processing technologies allow the creation of conversational chatbot platforms. Even though artificial intelligence is still too immature to support satisfactory u…