Juan Antonio Perez

Associate Scientist

Juan Antonio Perez photo

Prof. Juan Antonio Perez Ortiz is an associate professor in computer science and researcher at Universitat d’Alacant, Spain, director of the Transducens research group, and co-founder of Prompsit Language Engineering. He has worked on machine translation (rule-based, statistical and neural) and computer-aided translation since 1999, especially as a member of the team involved in the development of the rule-based machine translation system Apertium. He has also researched in the field of interactive translation prediction and hybridisation of different machine translation paradigms. He received his Ph.D. in computer science in 2002 with a thesis on recurrent neural models for sequence processing that used, among others, distributional representations for natural language processing tasks and LSTM cells. His current research focuses on neural language technologies for low-resource languages and utilization of language models in conversational machine learning.

He co-tutors one ELLIS PhD student at ELLIS Alicante.

Publications in association with ELLIS Alicante

2024

02/21
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024, February). Towards Student-Centric AI-Supported Learning: Teaching Chatbots to Ask the Right Questions. In Collaborative AI and Modeling of Humans, AAAI Bridge Program.
10/19
Santiago de Compostela, ES
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024, October). Enhancing Critical Thinking in Education by means of a Socratic Chatbot. In International Workshop on AI in Education and Educational Research, ECAI 2024 workshop.

2025

02/20
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025, February). Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment. In arXiv:2502.14389.
03/03
Philadelphia, US
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025, March). Argument Mining in Education: Exploring the Potential of Open-source Small LLMs for Argument Classification and Assessment. In AAAI2025 AI for Education - Tools, Opportunities, and Risks in the Generative AI Era.
07/22
Palermo, IT
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025, July). Do AI tutors empower or enslave learners? Toward a critical use of AI in education. In Applications of generative AI to support teaching and learning in higher education, co-located with AIED 2025.
07/31
Vienna, AT
Favero, L. A., Frases, D., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025, July). ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection. In 12th Workshop on Argument Mining, co-located with ACL 2025.
12/12
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025, December). Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment. In The 25th International Workshop on Computational Models of Natural Argument (CMNA'25).

2026

01/30
Favero, L. A., Gaudeau, G., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2026). Argumentative essay assessment with LLMs: A critical scoping review.
02/05
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2026). Beyond Holistic Scores: Automatic Trait-Based Quality Scoring of Argumentative Essays.
02/05
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2026). AI in Education Beyond Learning Outcomes: Cognition, Agency, Emotion, and Ethics.
04/16
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2026, April). Maike: Designing a Socratic Educational Chatbot to Foster Critical Thinking and Learner Agency. In CHI’26 Tools For Thought.