Exams in Natural Language Processing (NLP)
📚 You can select one of these exams or upload your own study materials to practice in realistic oral exam scenarios.
Theoretical Frameworks and Principles in Natural Language Processing
This exam focuses on the theoretical frameworks and principles of Natural Language Processing. It ai...
Language Models: Theory and Efficiency in Natural Language Processing
The exam evaluates theoretical knowledge of language models in Natural Language Processing, focusing...
Sentiment Analysis: Theoretical Foundations and Methodologies
This exam assesses theoretical foundations of sentiment analysis in Natural Language Processing. It ...
Discourse Analysis: Structures and Theoretical Models in Natural Language Processing
This exam evaluates comprehension of discourse analysis in Natural Language Processing. It emphasize...
Machine Translation: Theoretical Foundations and Challenges in NLP
This exam assesses theoretical concepts underlying machine translation in Natural Language Processin...
Information Extraction: Theoretical Approaches in Natural Language Processing
This exam focuses on the theoretical approaches to information extraction in Natural Language Proces...
Ethics and Responsible AI in Natural Language Processing
This exam evaluates knowledge of ethical considerations and responsible AI practices in Natural Lang...