Gábor Kata

Gábor Kata is a Lecturer at INALCO (National Institute of Oriental Languages and Civilizations) in Paris, France. He works within the Computer Science Multilingualism department, contributing to the ERTIM research team. His expertise spans Computational Semantics, Syntax-Semantics Interface, and Natural Language Processing (NLP).

• CNU Discipline: 27 - Computer Science
• Areas of Expertise: Europe
• Teaching Themes: Lexical Semantics, Computational Semantics, Linguistics for NLP, NLP

His research focuses on Computational Semantics and Syntax-Semantics Interface, with particular attention to NLP applications. His scholarly output reveals trends in semantic relation extraction, anomaly detection in text data, and knowledge base population using both supervised and unsupervised learning approaches. This work often employs graph-based methods and vector space analysis across multilingual contexts.