Dr Ramon Ruiz-Dolz

Lecturer

Computing, School of Science and Engineering

Ramon Ruiz-Dolz

Contact

Email

[email protected]

Websites

Website

Google Scholar

Biography

Ramon Ruiz-Dolz obtained his PhD in Computer Science from the Universitat Politècnica de València (Spain) with a Cum Laude distinction and awarded with the Extraordinary Prize (four best theses on topics related to IT) in 2023. Ramon has been a visiting researcher at the National Institute of Informatics (Tokyo, 2022), a postdoctoral researcher at the Centre for Argument Technology (UK, 2023), and a visiting researcher at the ELLIS Alicante unit (Spain, 2025). Since 2024, he is a Lecturer in Computing at the University of Dundee (UK). Ramon is a member of the ELLIS Society.
 

Research

Ramon's research interests are predominantly in Computational Argumentation and Natural Language Processing. His current research focuses on the analysis of the natural language reasoning capabilities of LLMs, and the integration of concepts from argumentation theory into NLP algorithms to improve their explainability and to develop critical thinking skills [1, 2, 3].

Ramon has published as main author more than 25 papers. These include journal papers published at journals indexed in the JCR such as the high-impact IEEE Intelligent Systems, the Autonomous Agents and Multi-Agent Systems journal, or the User Modeling and User-Adapted Interaction journal. Furthermore, Ramon has also published in world-class conferences and workshops including the Annual Meeting of the Association for Computational Linguistics (ACL), the International Joint Conference on Artificial Intelligence (IJCAI), the conference on Empirical Methods in Natural Language Processing (EMNLP), or the International Conference on Computational Linguistics (COLING) among others. These publications include some of the most impactful recent contributions to the areas of computational argumentation and argument mining [4, 5].

In addition to his scientific outputs, Ramon has also been internationally leading in the development of open-source tools for the analysis of natural language argumentation and argument mining [6]. He has released some of the largest publicly available argumentative corpora [7, 8] in Zenodo, totalling over 7,500 downloads (https://zenodo.org/records/6531487). Furthermore, Ramon has also shared with the community more than 40 open-source fine-tuned language models for argumentative tasks having a total of more than 20,000 downloads (https://huggingface.co/raruidol).

Ramon has also been the lead organiser of the DialAM-2024 shared task (http://dialam.arg.tech/) co-located with the ACL 2024, and co-organiser of the 12th Workshop on Argument Mining (https://argmining-org.github.io/2025/) co-located with the ACL 2025.
 

Selected publications

  1. Ruiz-Dolz, R., Kikteva, Z. and Lawrence, J., 2025, July. Mining Complex Patterns of Argumentative Reasoning in Natural Language Dialogue. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 7421-7435).
  2. Gemechu, D., Ruiz-Dolz, R., Beyer, H. and Reed, C., 2025, July. Natural Language Reasoning in Large Language Models: Analysis and Evaluation. In Findings of the Association for Computational Linguistics: ACL 2025 (pp. 3717-3741).
  3. Ruiz-Dolz, R. and Lawrence, J., 2023, December. Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models. In Proceedings of the 10th Workshop on Argument Mining (pp. 1-10).
  4. Ruiz-Dolz, R., Alemany, J., Barberá, S.M.H. and García-Fornes, A., 2021. Transformer-based models for automatic identification of argument relations: A cross-domain evaluation. IEEE Intelligent Systems, 36(6), pp.62-70.
  5. Ruiz-Dolz, R., Heras, S. and Garcia, A., 2023, December. Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 6030-6040).
  6. Gemechu, D., Ruiz-Dolz, R., Górska, K., Moslemnejad, S., Maguire, E., Zografistou, D., Jo, Y., Lawrence, J. and Reed, C., 2025, July. The Open Argument Mining Framework. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (pp. 318-328).
  7. Ruiz-Dolz, R., Nofre, M., Taulé, M., Heras, S. and García-Fornes, A., 2021. Vivesdebate: A new annotated multilingual corpus of argumentation in a debate tournament. Applied Sciences, 11(15), p.7160.
  8. Ruiz-Dolz, R. and Iranzo-Sánchez, J., 2023, December. VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 2071-2077).

    Ramon is actively looking for highly motivated PhD students to work on topics related to NLP, reasoning, and argumentation technology. Candidates can contact him at [email protected].
View full research profile and publications

Teaching

Ramon has experience in teaching and developing computing modules, and is Associate Fellow of the Higher Education Academy.

He currently teaches:

  • CS52003: Natural Language Processing and Large Language Models (Module Lead)
  • CS51011: Deep Learning Implementation and Optimisation (Module Lead)