Exploring the state of the art in legal QA systems

A Abdallah, B Piryani, A Jatowt - Journal of Big Data, 2023 - Springer
Answering questions related to the legal domain is a complex task, primarily due to the
intricate nature and diverse range of legal document systems. Providing an accurate answer …

A survey on legal question–answering systems

J Martinez-Gil - Computer Science Review, 2023 - Elsevier
Many legal professionals think the explosion of information about local, regional, national,
and international legislation makes their practice more costly, time-consuming, and error …

Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data

F Sovrano, F Vitali - Data Mining and Knowledge Discovery, 2024 - Springer
In this paper we introduce a new class of software tools engaged in delivering successful
explanations of complex processes on top of basic Explainable AI (XAI) software systems …

An objective metric for Explainable AI: How and why to estimate the degree of explainability

F Sovrano, F Vitali - Knowledge-Based Systems, 2023 - Elsevier
This paper presents a new method for objectively measuring the explainability of textual
information, such as the outputs of Explainable AI (XAI). We introduce a metric called …

From philosophy to interfaces: an explanatory method and a tool inspired by achinstein's theory of explanation

F Sovrano, F Vitali - Proceedings of the 26th International Conference on …, 2021 - dl.acm.org
We propose a new method for explanations in Artificial Intelligence (AI) and a tool to test its
expressive power within a user interface. In order to bridge the gap between philosophy and …

Combining shallow and deep learning approaches against data scarcity in legal domains

F Sovrano, M Palmirani, F Vitali - Government Information Quarterly, 2022 - Elsevier
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 …

Designing an Intelligent Contract with Communications and Risk Data

G Stathis, A Trantas, G Biagioni, KA Graaf… - SN Computer …, 2024 - Springer
Contract automation is a challenging topic within Artificial Intelligence and LegalTech. From
digitised contracts via smart contracts, we are heading towards Intelligent Contracts …

How to quantify the degree of explainability: experiments and practical implications

F Sovrano, F Vitali - … Conference on Fuzzy Systems (FUZZ-IEEE …, 2022 - ieeexplore.ieee.org
Explainable AI was born as a pathway to allow humans to explore and understand the inner
working of complex systems. Though, establishing what is an explanation and objectively …

[HTML][HTML] MAKG: A maritime accident knowledge graph for intelligent accident analysis and management

D Liu, L Cheng - Ocean Engineering, 2024 - Elsevier
With the increasing frequency of human activities at sea, maritime accidents are occurring
more often. Analyzing and mining maritime accident cases can help uncover the causal …

[PDF][PDF] Construction and application of Chinese breast cancer knowledge graph based on multi-source heterogeneous data

B An - Math Biosci Eng, 2023 - aimspress.com
The knowledge graph is a critical resource for medical intelligence. The general medical
knowledge graph tries to include all diseases and contains much medical knowledge …