Papers by Federico Ruggeri
Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains (2025.findings-naacl)
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| Challenge: | a new framework for analyzing hate speech definitions is proposed to address cultural differences in interpretations . a dataset of 493 definitions from more than 100 cultures is used to analyze hate speech . |
| Approach: | They propose a framework for a cross-cultural and cross-domain analysis of hate speech definitions . they use open-source LLMs to analyze the impact of different definitions on hate speech detection . |
| Outcome: | The proposed framework enables cross-cultural and cross-domain analysis of hate speech definitions . it reveals that many domains borrow definitions from one another without taking into account target culture . |
A Corpus for Sentence-Level Subjectivity Detection on English News Articles (2024.lrec-main)
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Francesco Antici, Federico Ruggeri, Andrea Galassi, Katerina Korre, Arianna Muti, Alessandra Bardi, Alice Fedotova, Alberto Barrón-Cedeño
| Challenge: | Existing approaches to spotting subjectivity require language-specific tools. |
| Approach: | They develop annotation guidelines for sentence-level subjectivity detection that are not limited to language-specific cues. |
| Outcome: | The proposed framework enables subjectivity detection in English and across other languages without relying on language-specific tools, such as lexicons or machine translation. |
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts (2024.emnlp-main)
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| Challenge: | a new study aims to understand the implicit reasoning used to convey misogynistic comments in Italian and English. |
| Approach: | They propose misogyny detection as an Argumentative Reasoning task and use argumentation theory to build large language models to understand the implicit reasoning used to convey misogany in Italian and English. |
| Outcome: | The proposed task is an argumentative reasoning task in Italian and English. |
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification (2025.findings-acl)
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John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri, Sebastian Löbbers, Yulan He, Maria Liakata
| Challenge: | Large Language Models (LLMs) have shown remarkable proficiency in complex tasks where reasoning capabilities are paramount. |
| Approach: | They propose a framework to break down claims into atomic reasoning types needed for verification. |
| Outcome: | The proposed framework breaks down claims into atomic reasoning types needed for verification. |
Interlocking-free Selective Rationalization Through Genetic-based Learning (2025.acl-long)
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| Challenge: | Existing approaches to selective rationalization suffer from interlocking, a phenomenon known as interlock. |
| Approach: | They propose a genetically-based disjoint training architecture for selective rationalization that avoids interlocking by performing genetic global search. |
| Outcome: | The proposed model outperforms state-of-the-art models on a synthetic and real-world benchmark. |
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets (2024.lrec-main)
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Arianna Muti, Federico Ruggeri, Cagri Toraman, Alberto Barrón-Cedeño, Samuel Algherini, Lorenzo Musetti, Silvia Ronchi, Gianmarco Saretto, Caterina Zapparoli
| Challenge: | Disambiguating the meaning of pejorative words might help misogyny detection . state-of-the-art models struggle to correctly classify misogoyne when sentences contain such terms. |
| Approach: | They present a corpus of 1,200 manually annotated Italian tweets for pejorative language at the word level and misogyny at the sentence level. |
| Outcome: | The proposed model improves on 1,200 manually annotated Italian tweets and on two benchmarks. |
Multimodal Fallacy Classification in Political Debates (2024.eacl-short)
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| Challenge: | Recent advances in NLP suggest that some tasks, such as argument detection and relation classification, are better framed in a multimodal perspective. |
| Approach: | They propose to use multimodal argument mining to capture paralinguistic aspects of fallacious arguments. |
| Outcome: | The proposed multimodal argument mining improves argument detection and relation classification in political debates. |
A Dataset of Argumentative Dialogues on Scientific Papers (2023.acl-long)
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| Challenge: | Recent advances in question-answering models have made them a great asset in accessing the content of scientific papers. |
| Approach: | They propose to use a dataset of 41 argumentative dialogues between scientists on 20 NLP papers to improve and evaluate their question-answering models. |
| Outcome: | The proposed dataset includes both exploratory and argumentative questions and answers in a dialogue discourse on a scientific paper. |