Elena Lloret (Invited Lecturer)
Topics
Explore the main topics covered throughout the summer school.
Tharindu Ranasinghe
Quality Estimation for Machine Translation
Hansi Hettiarachchi
Understanding Language Models
Salima Lamsiyah
Explainable AI in Natural Language Processing
Cengiz Acarturk
Gaze data for NLP research: Recording methods and analysis
Ernesto Luis Estevanell
Automated Hyperparameter Optimization and Model Selection for NLP Pipelines
Juan Pablo Consuegra-Ayala
Fairness in Machine Learning: Evaluating Gender Bias in LLMs
Isuri Anuradha
Beyond the Single Text: NLP Reading in Digital Humanities
Alicia Picazo-Izquierdo
Machine Translation for Low-Resource Languages
Robiert Sepulveda Torres
LLMs for low-resource languages
Damith Premasiri
Legal NLP in the NLP era
Maram Alharbi
Sentiment Analysis: From Rule-Based Methods to Large Language Models
Schedule Overview
Day 1 · June 15, 2026
Opening session, keynote, and foundations of the shift from rule-based NLP to data-driven methods.
Day 2 · June 16, 2026
LLMs, explainability, bias, low-resource language workflows, and practical tooling sessions.
Day 3 · June 17, 2026
Applied tracks on machine translation, sentiment analysis, optimisation, and wrap-up activities.
Detailed Programme
Coming Soon
Session-by-session allocation and exact time slots will be published here after final confirmation.