230017 Neural Networks and Natural Language Processing (S) (SoSe 2025)

Contents, comment

This seminar introduces the basics of language models and neural networks for natural language processing, which continue to dominate the current research landscape in CL. We start with some basics of machine learning for language data, such as text classification and language modeling. We then look at different types of neural network architectures and how they can be applied to language modeling. We also try to reflect, evaluate, and analyze neural language models from the linguistics perspective.

Requirements for participation, required level

Necessary prior knowledge:
- programming with Python

(Highly) recommended prior knowledge:
- basics in Computational Linguistics and/or Machine Learning
- for MA students in Linguistics, we highly recommend "Methoden der angewandten Computerlinguistik" (BA Computerlinguistik) which teaches the basics of statistical NLP

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
23-LIN-Inf 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 Methoden der angewandten Computerlinguistik Lehrveranstaltung 1 Study requirement
Student information
Lehrveranstaltung 2 Study requirement
Student information
39-M-Inf-INT-adv Advanced Interaction Technology Advanced Interaction Technology: Seminar 1 Study requirement
Student information
Advanced Interaction Technology: Seminar 2 Graded examination
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.


No more requirements
Moodle Courses
Moodle Courses
eKVV participant management:
eKVV participant management is used for this course.
Show details
Address:
SS2025_230017@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_498973061@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, July 4, 2025 
Last update times:
Tuesday, February 11, 2025 
Last update rooms:
Tuesday, February 11, 2025 
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
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=498973061
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
498973061