230025 Lab: Neural Networks (S) (SoSe 2026)
Contents, comment
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In this course, we will practice and implement various applications of neural-network-based language models (LMs). We will start from a basic level and gradually advance the level throughout the course.
We will work on programming excercises in Python towards solving and exploring problems in natural language processing (NLP) using neural-network-based LMs.
Requirements for participation, required level
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Prerequisites:
- Programming in Python
- Basic knowledge in NLP
Bibliography
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Tunstall, L., von Werra, L., & Wolf, T. (2022). Natural language processing with transformers (Revised ed.). O’Reilly Media. ISBN 9781098136796.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 8-10 | F1-125 | 13.04.-24.07.2026 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 23-LIN-Inf Foundations of Computational Linguistics for Students of Informatics Computerlinguistische Grundlagen für Informatik-Studierende | Veranstaltung aus dem Bereich computerlinguistische Grundlagen | Study requirement
|
Student information |
| Veranstaltung aus dem Bereich computerlinguistische Grundlagen | Study requirement
|
Student information | |
| Veranstaltung aus dem Bereich computerlinguistische Grundlagen | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 23-LIN-MaCL-MethAngewCL Methods in Applied Computational Linguistics Methods in Applied Computational Linguistics | Lehrveranstaltung 2 | Study requirement
|
Student information |
| 39-M-Inf-INT-adv_a Advanced Interaction Technology Advanced Interaction Technology | Advanced Interaction Technology: Accompanying exercise | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Address:
- SS2026_230025@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, October 23, 2025
- Last update times:
- Friday, January 30, 2026
- Last update rooms:
- Friday, January 30, 2026
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Linguistics and Literary Studies
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