Ramon Ruiz-Dolz
Orcid: 0000-0002-3059-8520
According to our database1,
Ramon Ruiz-Dolz
authored at least 24 papers
between 2019 and 2025.
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Bibliography
2025
An introduction to computational argumentation research from a human argumentation perspective.
Auton. Agents Multi Agent Syst., June, 2025
An Explainable Framework for Misinformation Identification via Critical Question Answering.
CoRR, March, 2025
Looking at the Unseen: Effective Sampling of Non-Related Propositions for Argument Mining.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks.
User Model. User Adapt. Interact., March, 2024
NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes.
CoRR, 2024
From Construction to Application: Advancing Argument Mining with the Large-Scale KIALOPRIME Dataset.
Proceedings of the Computational Models of Argument, 2024
Proceedings of the Computational Models of Argument, 2024
An Argumentation Scheme-Based Framework for Automatic Reconstruction of Natural Language Enthymemes.
Proceedings of the Computational Models of Argument, 2024
Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining.
CoRR, 2023
VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models.
Proceedings of the 10th Workshop on Argument Mining, 2023
2022
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study.
Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
2021
Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation.
IEEE Intell. Syst., 2021
CoRR, 2021
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
VRAIN at IroSva 2019: Exploring Classical and Transfer Learning Approaches to Short Message Irony Detection.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019
Towards an Argumentation System for Assisting Users with Privacy Management in Online Social Networks.
Proceedings of the 19th Workshop on Computational Models of Natural Argument co-located with the 14th International Conference on Persuasive Technology, 2019
Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), 2019