Legal information retrieval systems: State-of-the-art and open issues
In the last years, the legal domain has been revolutionized by the use of Information and
Communication Technologies, producing large amount of digital information. Legal …
Communication Technologies, producing large amount of digital information. Legal …
Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications
The surge in legal text production has amplified the workload for legal professionals, making
many tasks repetitive and time-consuming. Furthermore, the complexity and specialized …
many tasks repetitive and time-consuming. Furthermore, the complexity and specialized …
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 …
Extracting declarative process models from natural language
Process models are an important means to capture information on organizational operations
and often represent the starting point for process analysis and improvement. Since the …
and often represent the starting point for process analysis and improvement. Since the …
Application of natural language processing and text mining to identify patterns in construction-defect litigation cases
Recently, construction-defect litigation has upsurged across the United States. Disputes
arise due to a variety of reasons, and result in a range of negative impacts on construction …
arise due to a variety of reasons, and result in a range of negative impacts on construction …
Arg 2 P: an argumentation framework for explainable intelligent systems
In this paper we present the computational model of Arg 2 P, a logic-based argumentation
framework for defeasible reasoning and agent conversation particularly suitable for …
framework for defeasible reasoning and agent conversation particularly suitable for …
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 …
Detecting deviations between external and internal regulatory requirements for improved process compliance assessment
In order to assure process compliance, a wide range of regulatory requirements from various
documents must be considered. These external requirements are typically transformed into …
documents must be considered. These external requirements are typically transformed into …
[HTML][HTML] Enforcing legal information extraction through context-aware techniques: The ASKE approach
To cope with the growing volume, complexity, and articulation of legal documents as well as
to foster digital justice and digital law, increasing effort is being devoted to legal knowledge …
to foster digital justice and digital law, increasing effort is being devoted to legal knowledge …
Extracting annotations from textual descriptions of processes
Organizations often have textual descriptions as a way to document their main processes.
These descriptions are primarily used by the company's personnel to understand the …
These descriptions are primarily used by the company's personnel to understand the …