AUEB Natural Language Processing Group
AUEB's Natural Language Processing Group develops algorithms, models, and systems that allow computers to understand and generate natural language text and speech. We are also investigating multimodal information processing, e.g., combining speech, text, and images.
The group's current research interests include:
- machine learning for text, speech, and multimodal information, especially deep learning models,
- spoken language understanding and dialog systems,
- question answering, retrieval-augmented generation, and multi-step reasoning for document collections,
- image to text generation, especially generating diagnostic tags and captions from medical images,
- improving online discussions, including detecting and handling toxic posts and disinformation, and using large language models as mediators,
- sentiment analysis and emotion recognition for text and speech,
- natural language processing in the digital humanities,
- natural language processing for biomedical, legal, and financial data,
- text and speech processing tools for Greek.
The group is part of the Information Processing Laboratory of the Department of Informatics of the Athens University of Economics and Business. and recently co-organized the 4th, 3rd, and 2nd Athens Natural Language Processing Summer School (AthNLP 2024-2026). The group has participated for several years and consistently achieved top rankings in ImageCLEFmedical Caption, including 1st place in both concept detection and explainability in 2025, as well as 2nd place in the task of concept detection in 2026.