General information

Course name	Seminar: Seminar Natural Language Understanding (Bachelor)
Course number	INF-0467
Semester	SS 2024
Current number of participants	17
Home institute	Professur für Sprachverstehen mit Anwendung Digital Humanities
Courses type	Seminar in category Teaching
First date	Tuesday, 16.04.2024 17:30 - 19:00, Room: (1054 N)
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile	Yes
Hauptunterrichtssprache	deutsch
Weitere Unterrichtssprache(n)	englisch
ECTS points	4

Lecturers

Rooms and times

(self study): Tuesday: 17:30 - 19:00, weekly (5x)
(1054 N): Tuesday: 17:30 - 19:00, weekly (3x)
(2127 D): Tuesday: 17:30 - 19:00, weekly (2x)
(1056N): Tuesday, 02.07.2024, Tuesday, 09.07.2024 16:00 - 19:00
Tuesday, 16.07.2024 16:20 - 19:00
No room preference: Sunday, 18.08.2024 23:00 - 23:59

Fields of study

Fakultät für Angewandte Informatik > Informatik

Module assignments

Informatik und Multimedia B.Sc. Informatik und Multimedia, PO 2013, 20. Version (SS 2024) > B.Sc. Informatik und Multimedia (PO '13) - Informatik und Multimedia-Vertiefung > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Wirtschaftsinformatik Bachelorstudiengang Wirtschaftsinformatik (PO 2015), 18. Version (SS 2024) > Zweiter Studienabschnitt: Vertiefungsbereich (PO 2015) - Wirtschaftsorientierte Vertiefung - Freier Wahlbereich > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Austauschstudium - FAI Austauschstudium FAI, 4. Version valid from SS 2024 > Fakultät für Angewandte Informatik - Bachelor Level > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Informatik B.Sc. Informatik, PO 2018, 12. Version (SS 2024) > Seminar > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Wirtschaftsinformatik Bachelorstudiengang Wirtschaftsinformatik (PO 2015), 18. Version (SS 2024) > Zweiter Studienabschnitt: Vertiefungsbereich (PO 2015) - Informatikorientierte Vertiefung - Spezialisierung - Informatik > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Informatik B.Sc. Informatik, PO 2013, 20. Version (SS 2024) > B.Sc. Informatik (PO '13) - Informatik-Vertiefung > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Wirtschaftsinformatik Bachelorstudiengang Wirtschaftsinformatik (PO 2015), 18. Version (SS 2024) > Zweiter Studienabschnitt: Vertiefungsbereich (PO 2015) - Informatikorientierte Vertiefung - Freier Wahlbereich > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Mathematik und Informatik Bachelorstudiengang Mathematik und Informatik, 3. Version (SS 2024) > F. Wahlbereich > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Wirtschaftsinformatik Bachelorstudiengang Wirtschaftsinformatik (PO 2022), 5. Version (SS 2024) > Modulgruppe N: Freier Wahlbereich - informatikorientiert > INF-0467 - Seminar Natural Language Understanding (Bachelor) > Seminar Natural Language Understanding (Bachelor)
Informatik und Multimedia B.Sc. Informatik und Multimedia, PO 2016, 17. Version (SS 2024) > B.Sc. Informatik und Multimedia (PO '15) - 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.

In the summer semester 2024, this seminar will be taught jointly with the Department of Philology and History to foster interdisciplinary collaboration with students of linguistics / language studies. See course: https://digicampus.uni-augsburg.de/dispatch.php/course/overview?cid=7dddb97d5058d9b13a81ee167ef8ed6b

At the beginning of the semester, we will offer several sessions providing guidance on the technical background, on how to read scientific papers effectively, on how to structure your presentation, and on how to write your term paper.

Registration mode

The enrolment is binding, participants cannot unsubscribe themselves.

Seminar: Seminar Natural Language Understanding (Bachelor) - Details