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    • Paper accepted at TACL!
    • EquAl: Equitable Algorithms, Promoting Fairness and Countering Algorithmic Discrimination Through Norms and Technologies - Final Conference
    • PRIMA: PRivacy Infringements Machine-Advice - Final Conference
    • ALMA-AI | Workshop LLM: a debate on technical experiences
    • The 13th Workshop on Argument Mining and Reasoning Co-located with ACL 2026
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    • Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology
    • Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
    • Interlocking-free Selective Rationalization Through Genetic-based Learning
    • Untangling Hate Speech Definitions: A Semantic Componential Analysis Across Cultures and Domains
    • Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research
    • Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts
    • A Corpus for Sentence-Level Subjectivity Detection on English News Articles
    • PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
    • Multimodal Fallacy Classification in Political Debates
    • Disruptive situation detection on public transport through speech emotion recognition
    • Detecting and explaining unfairness in consumer contracts through memory networks
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    • Overview of the CLEF-2025 CheckThat! Lab: Subjectivity, fact-checking, claim normalization, and retrieval
    • Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates
    • Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness
    • Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
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    • Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates
    • Overview of the CLEF-2025 CheckThat! Lab: Subjectivity, fact-checking, claim normalization, and retrieval
    • A Grice-ful Examination of Offensive Language: Using NLP Methods to Assess the Co-operative Principle
    • MAMKit: A Comprehensive Multimodal Argument Mining Toolkit
    • Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles
    • Overview of the CLEF-2024 CheckThat! lab: check-worthiness, subjectivity, persuasion, roles, authorities, and adversarial robustness
    • The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness
    • Inception Models for Fashion Image Captioning: An Extensive Study on Multiple Datasets
    • On the Definition of Prescriptive Annotation Guidelines for Language-Agnostic Subjectivity Detection
    • Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source
    • Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection
    • The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
    • A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts
    • Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts
    • Detecting Arguments in CJEU Decisions on Fiscal State Aid
    • Multimodal Argument Mining: A Case Study in Political Debates
    • SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers
    • Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool
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    • Combining Transformers with Natural Language Explanations
    • Tree-Constrained Graph Neural Networks For Argument Mining
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    • A Dataset of Argumentative Dialogues on Scientific Papers
    • Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid
    • AMICA: An Argumentative Search Engine for COVID-19 Literature
    • Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning
    • Predicting Outcomes of Italian VAT Decisions
    • Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts
  • Journals
    • Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence
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Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool

Jan 1, 2020·
Ruta Liepina
,
Federico Ruggeri
,
Francesca Lagioia
,
Marco Lippi
,
Kasper Drazewski
,
Paolo Torroni
· 1 min read
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Last updated on Jan 1, 2020
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