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pro vyhledávání: '"Hernández, Nicolás"'
Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively conveying research findings and ideas. In this article, we propose an ori
Externí odkaz:
http://arxiv.org/abs/2403.00241
Recent advances in pre-trained language modeling have facilitated significant progress across various natural language processing (NLP) tasks. Word masking during model training constitutes a pivotal component of language modeling in architectures li
Externí odkaz:
http://arxiv.org/abs/2402.12036
Publikováno v:
JURIX 2023 - The 36th International Conference on Legal Knowledge and Information System, Maastricht, the Netherlands
We propose a comprehensive study of one-stage elicitation techniques for querying a large pre-trained generative transformer (GPT-3.5-turbo) in the rhetorical role prediction task of legal cases. This task is known as requiring textual context to be
Externí odkaz:
http://arxiv.org/abs/2310.17413
Publikováno v:
ASAIL 2023: Proceedings of the Sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023), June 23, 2023, Braga, Portugal
The legal domain is a vast and complex field that involves a considerable amount of text analysis, including laws, legal arguments, and legal opinions. Legal practitioners must analyze these texts to understand legal cases, research legal precedents,
Externí odkaz:
http://arxiv.org/abs/2310.05276
Autor:
Hernández, Nicolás, Martos, Gabriel
Gaussian Processes and the Kullback-Leibler divergence have been deeply studied in Statistics and Machine Learning. This paper marries these two concepts and introduce the local Kullback-Leibler divergence to learn about intervals where two Gaussian
Externí odkaz:
http://arxiv.org/abs/2306.00538
Publikováno v:
ceur-ws.Vol-3617(2023)22-36
Writing a scientific article is a challenging task as it is a highly codified genre. Good writing skills are essential to properly convey ideas and results of research work. Since the majority of scientific articles are currently written in English,
Externí odkaz:
http://arxiv.org/abs/2303.16726
Functional Time Series are sequences of dependent random elements taking values on some functional space. Most of the research on this domain is focused on producing a predictor able to forecast the value of the next function having observed a part o
Externí odkaz:
http://arxiv.org/abs/2105.13627
Building dialogue systems that naturally converse with humans is being an attractive and an active research domain. Multiple systems are being designed everyday and several datasets are being available. For this reason, it is being hard to keep an up
Externí odkaz:
http://arxiv.org/abs/1907.12878
Autor:
García, Ivis, Hernandez, Nicolas
Publikováno v:
In World Development Sustainability June 2023 2
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