General information

Course name	Seminar: Seminar Natural Language Understanding (Bachelor)
Course number	INF-0467
Semester	WS 2023/24
Current number of participants	1
Home institute	Professur für Sprachverstehen mit Anwendung Digital Humanities
Courses type	Seminar in category Teaching
First date	Monday, 16.10.2023 12:15 - 13:45, Room: (1056 N)
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile	Yes
Hauptunterrichtssprache	deutsch
Weitere Unterrichtssprache(n)	englisch
ECTS points	4

Lecturers

Rooms and times

(1056 N): Monday: 12:15 - 13:45, weekly (14x); Monday, 22.01.2024 12:00 - 16:00

Fields of study

Fakultät für Angewandte Informatik > Informatik

Module assignments

Informatik B.Sc. Informatik, PO 2018, 11. Version (WS 2023/24) > Seminar > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Informatik und Multimedia B.Sc. Informatik und Multimedia, PO 2016, 16. Version (WS 2023/24) > B.Sc. Informatik und Multimedia (PO '15) - Informatik und Multimedia-Vertiefung > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Informatik B.Sc. Informatik, PO 2013, 19. Version (WS 2023/24) > B.Sc. Informatik (PO '13) - Informatik-Vertiefung > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Austauschstudium - FAI Austauschstudium FAI, 3. Version (WS 2023/24) > Fakultät für Angewandte Informatik - Bachelor Level > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Informatik und Multimedia B.Sc. Informatik und Multimedia, PO 2013, 19. Version (WS 2023/24) > B.Sc. Informatik und Multimedia (PO '13) - Informatik und Multimedia-Vertiefung > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)

Comment/Description

Recently, large language model based applications such as ChatGPT have achieved new levels of performance on various natural language understanding tasks. At the same time, they suffer from problems such as bias and hallucination. In this seminar, we will discuss recent state-of-the-art approaches to computational semantics and (automatic) natural language understanding. Prior participation in the "Introduction to Natural Language Processing" course is certainly a plus, but not a hard requirement. Prior knowledge in machine learning will be helpful.

The course will be taught primarily by Dr. Jakob Prange.

Registration mode

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Seminar: Seminar Natural Language Understanding (Bachelor) - Details