194.135 Research topics in natural language processing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 2.0h, 3.0EC

Course evaluation

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to:

- understand and explain the theoretical foundations of modern methods in natural language
processing
- consider, evaluate, and discuss both ML-based and rule-based solutions to a variety of NLP tasks
- consider, evaluate, and discuss the explainability and biases of NLP solutions
- understand and address the challenges of NLP for low-resourced languages

Subject of course

Tentative topics:

- Overview of tasks and methods in NLP
- Distributional models in NLP
- Explainability of NLP models
- Understanding and semantics
- Semantic parsing and representation

Teaching methods

Introductory lectures, individual research work, group discussions

Mode of examination

Immanent

Additional information

Lectures: 24h
Coursework: 35h
Project: 16h

Total: 75h

 

See the schedule at https://github.com/recski/tuw-nlp-seminar

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue14:00 - 16:0005.03.2024 - 25.06.2024 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Research topics in natural language processing - Single appointments
DayDateTimeLocationDescription
Tue05.03.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue12.03.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue19.03.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue09.04.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue16.04.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue23.04.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue30.04.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue07.05.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue14.05.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue28.05.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue04.06.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue11.06.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue18.06.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture
Tue25.06.202414:00 - 16:00 Meeting Room E188, Favoritenstraße 11, Stairs 3, 2nd floorLecture

Examination modalities

Presentation of individual research outcomes

Course registration

Begin End Deregistration end
27.02.2024 06:00 08.04.2024 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
175 FW Elective Courses - Economics and Computer Science Elective
880 FW Elective Courses - Computer Science Not specified

Literature

No lecture notes are available.

Language

English