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20202026
most citedTree-Constrained Graph Neural Networks For Argument Mining

2 citations · 6 across the 9 of their papers we have counts for

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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.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.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.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…