Overview of the CLEF-2025 CheckThat! Lab: Subjectivity, fact-checking, claim normalization, and retrieval
This paper presents the eighth edition of the CheckThat! lab, part of the 2025 Conference and Labs of the Evaluation Forum (CLEF).
Natural Language Processing
Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates
We present an overview of the MM-ArgFallacy2025 shared task on Multimodal Argumentative Fallacy Detection and Classification in Political Debates, co-located with the 12th Workshop on Argument Mining at ACL 2025.
Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness
We describe the seventh edition of the CheckThat! lab, part of the 2024 Conference and Labs of the Evaluation Forum (CLEF).
Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research
We chart the landscape of available speech datasets for this domain, to highlight possible pitfalls and opportunities for improvement and promote fairness and diversity.
A Corpus for Sentence-Level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
We present PejorativITy, a novel corpus of 1,200 manually annotated Italian tweets for pejorative language at the word level and misogyny at the sentence level.
Disruptive situation detection on public transport through speech emotion recognition
We propose to frame disruptive situation detection as a speech emotion recognition task. To validate our hypotheses, we carry out an extensive experimental study focusing on the development of a model characterized by speaker/gender independence, robustness to noise, and robustness against multiple voices.
Multimodal Fallacy Classification in Political Debates
We propose multimodal argument mining for argumentative fallacy classification in political debates.
Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid
We study how propositions are combined inhigher-level structures and how the relations between propositionscan be predicted by NLP models.
Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
We describe the seventh edition of the CheckThat! lab, part of the 2024 Conference and Labs of the Evaluation Forum (CLEF).
A Dataset of Argumentative Dialogues on Scientific Papers
We introduce ArgSciChat, a dataset of 41 argumentative dialogues between scientists on 20 NLP papers.
Detecting and explaining unfairness in consumer contracts through memory networks
We posit that in this domain useful explanations of classifier outcomes can be provided by resorting to legal rationales.
Detecting Arguments in CJEU Decisions on Fiscal State Aid
We present Demosthenes, a novel corpus for argument mining in legal documents, composed of 40 decisions of the Court of Justice of the European Union on matters of fiscal state aid.
Multimodal Argument Mining: A Case Study in Political Debates
We propose a study on multimodal argument mining in the domain of political debates
Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence
We develop an artificial intelligence system for the analysis of the scientific literature by leveraging on recent developments in the field of Argument Mining.
AMICA: An Argumentative Search Engine for COVID-19 Literature
AMICA is an argument mining-based search engine, specifically designed for the analysis of scientific literature related to Covid-19.