Fine-tuning GPT-3 for legal rule classification
In this paper, we propose a Legal Rule Classification (LRC) task using one of the most
discussed language model in the field of Artificial Intelligence, namely GPT-3, a generative …
discussed language model in the field of Artificial Intelligence, namely GPT-3, a generative …
Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies
This paper analyses and compares some of the automated reasoners that have been used
in recent research for compliance checking. Although the list of the considered reasoners is …
in recent research for compliance checking. Although the list of the considered reasoners is …
The use of readability metrics in legal text: A systematic literature review
Understanding the text in legal documents can be challenging due to their complex structure
and the inclusion of domain-specific jargon. Laws and regulations are often crafted in such a …
and the inclusion of domain-specific jargon. Laws and regulations are often crafted in such a …
A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing
CC Hsu, BH Jiang, CC Lin - Energies, 2023 - mdpi.com
To enable highly automated manufacturing and net-zero carbon emissions, manufacturers
have invested heavily in smart manufacturing. Sustainable and smart manufacturing …
have invested heavily in smart manufacturing. Sustainable and smart manufacturing …
Exploiting co-occurrence networks for classification of implicit inter-relationships in legal texts
The interpretation of any legal norm typically requires consideration of relationships
between parts within the same piece of legislation. This work describes a general framework …
between parts within the same piece of legislation. This work describes a general framework …
DGGCCM: A hybrid neural model for legal event detection
S Gong, X Luo - Artificial Intelligence and Law, 2024 - Springer
This paper introduces an advanced event detection model for legal intelligence, focusing on
identifying event types in legal cases by examining trigger word candidates. It employs the …
identifying event types in legal cases by examining trigger word candidates. It employs the …
Assessing the solid protocol in relation to security and privacy obligations
The Solid specification aims to empower data subjects by giving them direct access control
over their data across multiple applications. As governments are manifesting their interest in …
over their data across multiple applications. As governments are manifesting their interest in …
Efficient compliance checking of RDF data
Automated compliance checking, ie the task of automatically assessing whether states of
affairs comply with normative systems, has recently received a lot of attention from the …
affairs comply with normative systems, has recently received a lot of attention from the …
Knowledge augmented machine learning with applications in autonomous driving: A survey
The availability of representative datasets is an essential prerequisite for many successful
artificial intelligence and machine learning models. However, in real life applications these …
artificial intelligence and machine learning models. However, in real life applications these …
Combining shallow and deep learning approaches against data scarcity in legal domains
We are recently witnessing a radical shift towards digitisation in many aspects of our daily
life, including law, public administration and governance. This has sometimes been done …
life, including law, public administration and governance. This has sometimes been done …