15 citations · 49 across the 18 of their papers we have counts for
21 papers
Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection
Sofiane Elguendouze, Erwan Hain, Elena Cabrio +1
Argumentative component detection (ACD) is a core subtask of Argument(ation) Mining (AM) and one of its most challenging aspects, as it requires jointly delimiting argumentative sp…
Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech
Greta Damo, Elias Urios Alacreu, Elena Cabrio +2
Counterspeech (CS) - direct responses that counter online Hate Speech (HS) using reasoning and alternative viewpoints - has emerged as an alternative to content removal. Current au…
CRITICS - Critical Science Without Borders: Language Models to Promote Critical Thinking in Science Education
Rodrigo Agerri, Itziar Aldabe, Elena Cabrio +10
The CRITICS project addresses science accessibility and literacy by converging advanced Machine Translation (MT) based on Large Language Models (LLMs) with educational technology.…
Retrieving Relations, Detecting Fallacies: A RAG Approach to Political Debate Analysis
Deborah Dore, Greta Damo, Elena Cabrio +1
Fallacies are arguments that employ invalid reasoning, making their automatic detection critical in sensitive contexts such as high-stakes political debates, where public opinion i…
Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
Sofiane Elguendouze, Erwan Hain, Elena Cabrio +1
Argumentative component detection (ACD) is a core subtask of Argument(ation) Mining (AM) and one of its most challenging aspects, as it requires jointly delimiting argumentative sp…
PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
Greta Damo, Stéphane Petiot, Elena Cabrio +1
The increasing volume of hate speech on online platforms poses significant societal challenges. While the Natural Language Processing community has developed effective methods to a…
Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
Federica Granese, Serena Villata, Charles Bouveyron
Online topic models are unsupervised algorithms to identify latent topics in data streams that continuously evolve over time. Although these methods naturally align with real-world…
Beating Harmful Stereotypes Through Facts: RAG-based Counter-speech Generation
Greta Damo, Elena Cabrio, Serena Villata
Counter-speech generation is at the core of many expert activities, such as fact-checking and hate speech, to counter harmful content. Yet, existing work treats counter-speech gene…
RooseBERT: A New Deal For Political Language Modelling
Deborah Dore, Elena Cabrio, Serena Villata
The increasing amount of political debates and politics-related discussions calls for the definition of novel computational methods to automatically analyse such content with the f…
Effectiveness of Counter-Speech against Abusive Content: A Multidimensional Annotation and Classification Study
Greta Damo, Elena Cabrio, Serena Villata
Counter-speech (CS) is a key strategy for mitigating online Hate Speech (HS), yet defining the criteria to assess its effectiveness remains an open challenge. We propose a novel co…
Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams
Federica Granese, Benjamin Navet, Serena Villata +1
Topic modeling is a key component in unsupervised learning, employed to identify topics within a corpus of textual data. The rapid growth of social media generates an ever-growing…
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona +3
Explaining Artificial Intelligence (AI) decisions is a major challenge nowadays in AI, in particular when applied to sensitive scenarios like medicine and law. However, the need to…
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering
Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo +3
The potential effectiveness of counterspeech as a hate speech mitigation strategy is attracting increasing interest in the NLG research community, particularly towards the task of…
Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar +10
Research on language technology for the development of medical applications is currently a hot topic in Natural Language Understanding and Generation. Thus, a number of large langu…
Argument Quality Assessment in the Age of Instruction-Following Large Language Models
Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio +5
The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, wri…
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining
Oana Cocarascu, Elena Cabrio, Serena Villata +1
Argument Mining is the research area which aims at extracting argument components and predicting argumentative relations (i.e.,support and attack) from text. In particular, numerou…
Graph Data on the Web: extend the pivot, don't reinvent the wheel
Fabien Gandon, Franck Michel, Olivier Corby +5
This article is a collective position paper from the Wimmics research team, expressing our vision of how Web graph data technologies should evolve in the future in order to ensure…
Prioritized Norms in Formal Argumentation
Beishui Liao, Nir Oren, Leendert van der Torre +1
To resolve conflicts among norms, various nonmonotonic formalisms can be used to perform prioritized normative reasoning. Meanwhile, formal argumentation provides a way to represen…
System Descriptions of the First International Competition on Computational Models of Argumentation (ICCMA'15)
Matthias Thimm, Serena Villata
This volume contains the system description of the 18 solvers submitted to the First International Competition on Computational Models of Argumentation (ICCMA'15) and therefore giv…
Challenges in Bridging Social Semantics and Formal Semantics on the Web
Fabien Lucien Gandon, Michel Buffa, Elena Cabrio +7
This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics. The approaches introd…
Towards a Benchmark of Natural Language Arguments
Elena Cabrio, Serena Villata
The connections among natural language processing and argumentation theory are becoming stronger in the latest years, with a growing amount of works going in this direction, in dif…