Block Seminar Machine Learning for Natural Language Processing (Spring 2024)

Deep learning is the predominant machine learning paradigm in natural language processing (NLP). This approach not only gave huge performance improvements across a large variety of natural language processing tasks. We will have a more specific theme and topics that will follow.

Lecturer:  Dietrich Klakow

Location:  t.d.b

Time: block course in the spring break 2024 however preparations start earlier. Here the specific time line

Closing topic doodle: tbd
Kick-Off: some time tbd (doodle)
One page outline: tbd
Draft presentation: tbd

Practice talks and final talks will be during the spring break. Time/date will be decided during the kick-off.

Application for participation:  see CS seminar system (for CS; DSAI, VC, ES, …), for CoLI,LST, LCT use this registration system.

HISPOS registration deadline: tbd

Grading (tentative):

  • 5% one page talk outline
  • 10% draft presentation
  • 10% practice talk
  • 35% final talk
  • 5% contributions to discussion during final talk of fellow participants
  • 35% report

List of Topics (tentative):