Ramon Ruiz-Dolz

About Me

I was born in Albuixech (1996), but I spent most of my childhood in Valencia, a city located next to the Mediterranean Sea. I have also lived in Louvain-La-Neuve (Belgium), Tokyo (Japan), Changsha (China), and currently in Dundee (United Kingdom).

I hold a Ph.D. in Computer Science (Artificial Intelligence). Currently working as a Lecturer in Computing in the University of Dundee. My main research topics are Natural Language Processing, Computational Argumentation, and argument-based Human-Computer Interaction.

I like to spend my free time playing badminton, watching movies, reading books and playing video games.

Projects

I been involved in the following research projects investigating aspects of Natural Language Processing, Computational Argumentation, and Human-Computer Interaction:

• 2023-2024 European Horizon 2020 (ID: 101070658) project: TITAN - AI for Citizen Intelligent Coaching against Disinformation
• 2020-2022 Spanish PID2020-113416RB-I00 project: Agentes Inteligentes Afectivos para Persuadir Comportamientos Civicos en Entornos Virtuales
• 2018-2022 Valencian PROMETEO/2018/002 project: Tecnologies per Organitzacions Humanes Emocionals

Open Resources

During my research career I have publicly released the following resources for addressing different aspects of Computational Argumentation:

• NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
• VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
• VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament
• Multi-purpose Argument Mining Models

Journals

• Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks (User Modeling and User-Adapted Interaction IF: 4.230, 2023)
• Toward the Prevention of Privacy Threats: How Can We Persuade Our Social Network Platform Users? (Human-centric Computing and Information Sciences IF: 6.558, 2022 In press.)
• VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament (MDPI Applied Sciences IF: 2.838, 2021)
• Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation (IEEE Intelligent Systems IF: 6.744, 2021)

Conferences

• Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks (EMNLP-main, 2023)
• VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining (EMNLP-main, 2023)
• A Qualitative Analysis of the Persuasive Properties of Argumentation Schemes (30th UMAP, 2022)
• A Formal Framework for Designing Boundedly Rational Agents (14th ICAART, 2022)
• Towards an Artificial Argumentation System (IJCAI-DC, 2020)

Workshops

• Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models (10th ArgMining, 2023)
• A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study (NTCIR-16, 2022)
• Automatic Generation of Explanations to Prevent Privacy Violations (XAILA, 2019)
• VRAIN at IroSva 2019: Exploring Classical and Transfer Learning Approaches to Short Message Irony Detection (IberLEF, 2019)
• Towards an Argumentation System for Assisting Users with Privacy Management in Online Social Networks (CMNA, 2019)
• Image Analysis for Privacy Assessment in Social Networks (DCAI, 2018)

Elements

i = 0;



while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';