Sommer 2023

Argument mining is a highly interdisciplinary field in Natural Language Processing. Given a linguistic unit (a speech, an essay, forum post, or a tweet), its goal is to determine what is the position adopted by the author/speaker on a certain topic/issue (i.e., whether or not the vaccinations should be enforced), and to identify the evidence (if any) provided by the speaker for its position. In this seminar we will read and discuss recent papers in Argument Mining, based on a selection structured along three main coordinates: the core notion of Argument Quality (How do we recognize good arguments?); the modeling challenges related to the automatic extraction of argument structures (multilingualism; evaluation of different modeling architectures); applications (computational social science; education). NOTE: The course will be held primarily on-site. For international students who have previously organized a late on-site attendance, you can join the course remotely via my WebEx Space: https://unistuttgart.webex.com/unistuttgart/j.php?MTID=m555f92c684fefb7dd00d011e788356c0

im SoSe 2023

Prof Dr Frederik Witt | Tu 9:45 to 11:15 in 7.530 PWR 57 | Tu 11:30 to 13:00 in 7.530 PWR 57

The comprehensive management of large volumes of data is crucial in modern information systems. This is often characterized by the term big data. Some of the main driving forces are current trends like Industrie 4.0 and the Internet of Things (IoT). In particular, the growing usage of sensors and the huge volume of data they are producing result in new challenges for large scale data management. These challenges refer to the entire lifecycle of IoT data including major steps like capturing, managing, processing and analyzing the data. Due to the General Data Protection Regulation (GDPR), data security and privacy have to be considered in all of these operations.

Dr. Marc Zeccola und Jasmin Tejkl ; Blockseminar Präsenz; Beginn: 14.04.2023

Intergenerationelles Studium Generale Seminar

Intergenerationelles Studium Generale Seminar

Die Vorlesung Höhere Analysis enthält drei Blöcke. Die Themen sind: Funktionentheorie, Fourieranalysis, Distributionen.

<b>Dr. Christoph Gröger</b>, Vorlesung mit Übungen, Sommersemester 2023

<b>Dr. Christoph Gröger</b>, Vorlesung mit Übungen, Sommersemester 2023

<b>Prof. Dr. Ralf Küsters</b> - Seminar

Lecture (MSc CL), S. Pado. Lectures Tue 9:45 @31.01, Tutorials Thu 15:45 @ 55.21. Video lectures of first couple of weeks at https://nlpado.de/~sebastian/mt23

In diesem Kurs werden die Inhalte der Vorlesung und der Übung bereitgestellt.

Mathematik 2 für Informatikstudiengänge | Vorlesung im Sommersemester 2023

Gruppenübungen im Sommersemester 2023

SS2023

SS2023

Vorlesung, freitags, 8:00-9:30 Uhr, V 57.06, Vortragende: M. Mohr, C. Chaumette, c. Pietzka, B. Wriedt

<b>Kuhn/Tannert</b>, Monday 11:30, Friday 9:45. This course introduces the parsing approaches that are most relevant to Computational Linguistics/Natural Language Processing. (i) Constituent parsing: top-down and bottom-up algorithms for context-free grammars; dynamic programming algorithms: CKY, Earley; constituent treebank parsing; (ii) Dependency parsing: transition-based parsing; graph-based parsing. The course is one of the obligatory courses in the <b>BSc "Maschinelle Sprachverarbeitung"</b>. It can also be taken by students in the <b>MSc "Computational Linguistics"</b> (who have not taken the course in their Bachelor). Please note: the main language of course instruction will be <b>English</b>. But students should not hesitate to ask clarification questions etc. in German. The homework assignments and the written test can also be completed in German. (The questions in the written test will be available in English and in German.) * * * * * The practical exercises will include programming exercises with <b>Python3. Basic programming skills are a prerequisite for this course.</b>* * * * *

Prof. B. Mitschang, Prof. H. Schwarz, Practical Course Information Systems, Summer Term 2023

Dr. Hans Steege; Blockseminar Online/Präsenz; 1. Termin 21.04.2023 Online

<b>Prof. Dr. Ralf Küsters</b>. Monday 14:00-15:30 in V38.02 & Tuesday 17:30-19:00 in V38.02.

Dr. Marc Zeccola und Roman Pfleiderer; Blockseminar Präsenz; Beginn: 14.04.2023

Dr. Justus Bogner, Prof. Dr. Stefan Wagner

<b>Prof. Dr. Ralf Küsters</b>. Lectures on Tuesdays 15:45. <b>First lecture on April 11th</b>.