7 citations · 15 across the 7 of their papers we have counts for
9 papers
Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources
Ivan Decostanzi, Michele Ronco, Sergio Consoli +8
Effective humanitarian response depends on the rapid synthesis of heterogeneous, high-volume information sources - a task that routinely exceeds human analytical capacity in the cr…
An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News
Sergio Consoli, Pietro Coletti, Peter V. Markov +7
The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillance, are marking a pivotal momen…
Retrieval Augmented Generation Evaluation for Health Documents
Mario Ceresa, Lorenzo Bertolini, Valentin Comte +8
Safe and trustworthy use of Large Language Models (LLM) in the processing of healthcare documents and scientific papers could substantially help clinicians, scientists and policyma…
Conformal Risk Control for Pulmonary Nodule Detection
Roel Hulsman, Valentin Comte, Lorenzo Bertolini +3
Quantitative tools are increasingly appealing for decision support in healthcare, driven by the growing capabilities of advanced AI systems. However, understanding the predictive u…
Epidemic Information Extraction for Event-Based Surveillance using Large Language Models
Sergio Consoli, Peter Markov, Nikolaos I. Stilianakis +3
This paper presents a novel approach to epidemic surveillance, leveraging the power of Artificial Intelligence and Large Language Models (LLMs) for effective interpretation of unst…
Dreams Are More "Predictable'' Than You Think
Lorenzo Bertolini
A consistent body of evidence suggests that dream reports significantly vary from other types of textual transcripts with respect to semantic content. Furthermore, it appears to be…
Automatic Scoring of Dream Reports' Emotional Content with Large Language Models
Lorenzo Bertolini, Valentina Elce, Adriana Michalak +2
In the field of dream research, the study of dream content typically relies on the analysis of verbal reports provided by dreamers upon awakening from their sleep. This task is cla…
Representing Syntax and Composition with Geometric Transformations
Lorenzo Bertolini, Julie Weeds, David Weir +1
The exploitation of syntactic graphs (SyGs) as a word's context has been shown to be beneficial for distributional semantic models (DSMs), both at the level of individual word repr…
Data Augmentation for Hypernymy Detection
Thomas Kober, Julie Weeds, Lorenzo Bertolini +1
The automatic detection of hypernymy relationships represents a challenging problem in NLP. The successful application of state-of-the-art supervised approaches using distributed r…