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pro vyhledávání: '"Martinez, Jonathan"'
Autor:
Méndez, Silvia García, Gavilanes, Milagros Fernández, Montenegro, Enrique Costa, Martínez, Jonathan Juncal, Castaño, Francisco Javier González, Reiter, Ehud
Publikováno v:
(2019) IEEE Access, 7, 123320-123333
We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistical approaches. Here, "automatic" means that the system can generate co
Externí odkaz:
http://arxiv.org/abs/2405.18350
Autor:
García-Méndez, Silvia, Fernández-Gavilanes, Milagros, Costa-Montenegro, Enrique, Juncal-Martínez, Jonathan, González-Castaño, F. Javier
Publikováno v:
Expert Systems with Applications, 120, 372-386
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) which, unlike other state-of-the-art solutions, performs the NLG task in
Externí odkaz:
http://arxiv.org/abs/2405.17280
Autor:
Fernández-Gavilanes, Milagros, Juncal-Martínez, Jonathan, García-Méndez, Silvia, Costa-Montenegro, Enrique, González-Castaño, Francisco Javier
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 organizations. Novel approaches beyond Natural Language Processing are
Externí odkaz:
http://arxiv.org/abs/2404.01439
Autor:
García-Méndez, Silvia, Fernández-Gavilanes, Milagros, Juncal-Martínez, Jonathan, González-Castaño, Francisco J., Seara, Oscar Barba
Short texts are omnipresent in real-time news, social network commentaries, etc. Traditional text representation methods have been successfully applied to self-contained documents of medium size. However, information in short texts is often insuffici
Externí odkaz:
http://arxiv.org/abs/2404.08664
Autor:
MArtinez, Jonathan Ulises Alvarez, R, Castro-Beltrán, Luis, Polo-Parada, Gutierres-Juarez, Gerardo
The combination of microfluidic technology and optical fluids characterization techniques has been recently applied to produce lab-on-a-chip systems. In the present work, bringing together the imaging technique called photoacoustic imaging (PAI) and
Externí odkaz:
http://arxiv.org/abs/2303.15561
Goal: To achieve-high quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies. Methods: We propose Boosted-SpringDTW, a probabilistic framework
Externí odkaz:
http://arxiv.org/abs/2201.04209
Autor:
Garg, Kritika M., Gwee, Chyi Yin, Chattopadhyay, Balaji, Ng, Nathaniel S., Prawiradilaga, Dewi M., David, Gabriel, Fuchs, Jérôme, Hung Le Manh, Martinez, Jonathan, Olsson, Urban, Vuong Tan Tu, Chhin, Sophea, Alström, Per, Lei, Fumin, Rheindt, Frank E.
Publikováno v:
In Molecular Phylogenetics and Evolution April 2024 193
AI systems that model and interact with users can update their models over time to reflect new information and changes in the environment. Although these updates may improve the overall performance of the AI system, they may actually hurt the perform
Externí odkaz:
http://arxiv.org/abs/2004.02289
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Akademický článek
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