activity
20202026
most citedTree-Constrained Graph Neural Networks For Argument Mining

2 citations · 7 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IR2026

Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study

Andrea Gerardo Russo, Federico Ruggeri, Ivan Tomarchio +5

The growing number and complexity of technical regulations represent an important challenge for all professionals in regulated industries. This paper describes a case study, from d…

cs.CL2026

The Alignment Bottleneck in Decomposition-Based Claim Verification

Mahmud Elahi Akhter, Federico Ruggeri, Iman Munire Bilal +2

Structured claim decomposition is often proposed as a solution for verifying complex, multi-faceted claims, yet empirical results have been inconsistent. We argue that these incons…

cs.LG2024

Interlocking-free Selective Rationalization Through Genetic-based Learning

Federico Ruggeri, Gaetano Signorelli

A popular end-to-end architecture for selective rationalization is the select-then-predict pipeline, comprising a generator to extract highlights fed to a predictor. Such a coopera…

cs.CL2024★ 1 cited

Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology

Federico Ruggeri, Eleonora Misino, Arianna Muti +3

We introduce the Guideline-Centered Annotation Methodology (GCAM), a novel data annotation methodology designed to report the annotation guidelines associated with each data sample…

cs.AI2024★ 1 cited

Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research

Eleonora Mancini, Ana Tanevska, Andrea Galassi +3

Current research in machine learning and artificial intelligence is largely centered on modeling and performance evaluation, less so on data collection. However, recent research de…

cs.CL2024

PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets

Arianna Muti, Federico Ruggeri, Cagri Toraman +6

Misogyny is often expressed through figurative language. Some neutral words can assume a negative connotation when functioning as pejorative epithets. Disambiguating the meaning of…

cs.CL2023★ 2 cited

A Corpus for Sentence-level Subjectivity Detection on English News Articles

Francesco Antici, Andrea Galassi, Federico Ruggeri +5

We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues. We use our guidelines to collect NewsSD-ENG, a co…

cs.CL2022

ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers

Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych

The applications of conversational agents for scientific disciplines (as expert domains) are understudied due to the lack of dialogue data to train such agents. While most data col…

cs.CL2021★ 1 cited

Combining Transformers with Natural Language Explanations

Federico Ruggeri, Marco Lippi, Paolo Torroni

Many NLP applications require models to be interpretable. However, many successful neural architectures, including transformers, still lack effective interpretation methods. A poss…

cs.CL2021★ 2 cited

Tree-Constrained Graph Neural Networks For Argument Mining

Federico Ruggeri, Marco Lippi, Paolo Torroni

We propose a novel architecture for Graph Neural Networks that is inspired by the idea behind Tree Kernels of measuring similarity between trees by taking into account their common…

cs.CY2020

Memory networks for consumer protection:unfairness exposed

Federico Ruggeri, Francesca Lagioia, Marco Lippi +1

Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents. However, a shortcoming of data-dri…