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459301-HS2023: CAS Natural Language Processing

Certificate of Advanced Studies in Natural Language Processing (CAS NLP) - 2023/2024
Information Message

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General Information

Course description
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.

Lernziele und Links

Lernziele
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.

General

Language
English

Licence and Use

Copyright
All rights reserved

Tutorial Support

[c.beisbart]

[a.bodmer4]

PD Dr Sigve Haug

Address

Sidlerstrasse 5
3012 Bern
Switzerland

Institution / Department

University of Bern / Data Science Lab and Mathematical Institute

Contact

E-Mail: sigve.haug@unibe.ch

[m.vladymyrov1]

[c.schneider23]

Ahmad Alhineidi

Contact

E-Mail: ahmad.alhineidi@unibe.ch

[s.nath3]

Availability

Access
1. Mär 2023, 16:50 - 3. Mär 2026, 12:35
Admittance
If a course administrator has given you the course password, you can join this course.
Registration Period
Unlimited
Minimum of Users
10
Free Places
19

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