Automatic Generation of Explanations to Prevent Privacy Violations. - Ramon Ruiz-Dolz; José Alemany; Stella Heras; Ana García-Fornes (XAILA@JURIX, 2019)

Towards an Argumentation System for Assisting Users with Privacy Management in Online Social Networks. - Ramon Ruiz-Dolz; Stella Heras; José Alemany; Ana García-Fornes (CMNA@PERSUASIVE, 2019)

VRAIN at IroSva 2019: Exploring Classical and Transfer Learning Approaches to Short Message Irony Detection. - Javier Iranzo-Sánchez; Ramon Ruiz-Dolz (IberLEF@SEPLN, 2019)

Towards an Artificial Argumentation System. - Ramon Ruiz-Dolz (IJCAI, 2020)

On the Prevention of Privacy Threats: How Can We Persuade Our Social Network Users? - Ramon Ruiz-Dolz; José Alemany; Stella Heras; Ana García-Fornes (CoRR, 2021)

Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation. - Ramon Ruiz-Dolz; José Alemany; Stella Heras Barberá; Ana García-Fornes (IEEE Intell. Syst., 2021)

A Formal Framework for Designing Boundedly Rational Agents. - Andreas Brännström; Timotheus Kampik; Ramon Ruiz-Dolz; Joaquín Taverner (ICAART (3), 2022)

A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study. - Ramon Ruiz-Dolz (NTCIR, 2022)

A Qualitative Analysis of the Persuasive Properties of Argumentation Schemes. - Ramon Ruiz-Dolz; Joaquín Taverner; Stella Heras; Ana García-Fornes; Vicente J. Botti (UMAP, 2022)

Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models. - Ramon Ruiz-Dolz; John Lawrence (ArgMining@EMNLP, 2023)

Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks. - Ramon Ruiz-Dolz; Stella Heras; Ana García-Fornes (EMNLP, 2023)

VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining. - Ramon Ruiz-Dolz; Javier Sanchez (EMNLP, 2023)

VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining. - Ramon Ruiz-Dolz; Javier Iranzo-Sánchez (CoRR, 2023)

Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain. - Ramon Ruiz-Dolz; Chr-Jr Chiu; Chung-Chi Chen 001; Noriko Kando; Hsin-Hsi Chen (LREC/COLING, 2024)

An Argumentation Scheme-Based Framework for Automatic Reconstruction of Natural Language Enthymemes. - Zvonimir Delas; Brian Plüss; Ramon Ruiz-Dolz (COMMA, 2024)

Annotating and Mining Hypotheses in Argumentation. - Eimear Maguire; Ramon Ruiz-Dolz; Melvin Abraham; John Lawrence; Jacky Visser (COMMA, 2024)

From Construction to Application: Advancing Argument Mining with the Large-Scale KIALOPRIME Dataset. - Premtim Sahitaj; Ramon Ruiz-Dolz; Ariana Sahitaj; Ata Nizamoglu; Vera Schmitt; Salar Mohtaj; Sebastian Möller 001 (COMMA, 2024)

NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes. - Ramon Ruiz-Dolz; Joaquín Taverner; John Lawrence; Chris Reed 001 (CoRR, 2024)

Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks. - Ramon Ruiz-Dolz; Joaquín Taverner; Stella M. Heras Barberá; Ana García-Fornes (User Model. User Adapt. Interact., 2024)

Natural Language Reasoning in Large Language Models: Analysis and Evaluation. - Debela Gemechu; Ramon Ruiz-Dolz; Henrike Beyer; Chris Reed 001 (ACL (Findings), 2025)

Mining Complex Patterns of Argumentative Reasoning in Natural Language Dialogue. - Ramon Ruiz-Dolz; Zlata Kikteva; John Lawrence (ACL (1), 2025)

Looking at the Unseen: Effective Sampling of Non-Related Propositions for Argument Mining. - Ramon Ruiz-Dolz; Debela Gemechu; Zlata Kikteva; Chris Reed 001 (COLING, 2025)

An Explainable Framework for Misinformation Identification via Critical Question Answering. - Ramon Ruiz-Dolz; John Lawrence (CoRR, 2025)

An introduction to computational argumentation research from a human argumentation perspective. - Ramon Ruiz-Dolz; Stella Heras; Ana García-Fornes (Auton. Agents Multi Agent Syst., 2025)