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Natural Language Parsing : Progress and Challenges
(Sociedad de Estadística e Investigación Operativa, 2018-07)
[Abstract] Natural language parsing is the task of automatically obtaining the syntactic structure of sentences written in a human language. Parsing is a crucial step for language processing systems that need to extract ...
Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model
(MDPI, 2022)
[Abstract] In this paper, we illustrate that inaccurate knowledge can be efficiently implemented in a quantum environment. For this purpose, we analyse the correlation between certainty factors and quantum probability. We ...
How Agent-based modeling can help to foster sustainability projects
(Elsevier, 2022)
[Abstract] The Sustainable Development Goals (SDGs) adopted by the United Nations require relevant social changes that sometimes involve the development of innovative projects that cause rejection and confrontation. ...
Digitalisation for nuclear waste management: predisposal and disposal
(Springer, 2023)
[Abstract:] Data science (digitalisation and artificial intelligence) became more than an important facilitator for many domains in fundamental and applied sciences as well as industry and is disrupting the way of research ...
Competición de robótica submarina máster MIR: experiencia educacional
(Universidade da Coruña. Servizo de Publicacións, 2023)
[Resumen]
En este artículo se describe la nueva competición de robótica submarina del Máster Europeo “Erasmus Mundus MIR” (Marine & Maritime Intelligent Robotics), la cual se ha iniciado en el año 2023 en dos fases. La ...
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
(Springer, 2019)
[Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...