96 citations · 561 across the 34 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…