459301-HS2023: CAS Natural Language Processing

Machine translation, information extraction, question answering and non-sense natural language generation performed by NLP algorithms are already part of everyday life. However, the new semantic understanding capabilities seen in recent trained models not only expand the NLP application space enormously, but also represent possible first steps towards consciousness and mind outside human and animal nerve systems.

Course competence is developed throughout six modules and a CAS project work. On completion the graduates will (be able to):
have an overview of the NLP domain and common applications
be able to perform relevant preprocessing tasks needed for advanced NLP
be able to understand neural networks and practice them on own NLP applications
be able to understand transformers and practice transfer learning with transformers for own applications
know discussions related to philosophical and ethical aspects around NLP and artificial intelligence
be familiar with active research in the NLP domain.

English

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1. Mar 2023, 16:50 - 3. Mar 2026, 12:35

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