Termine
| wöchentlich | Montag | 10:15 - 13:45 | 06.04.2026 - 10.07.2026 | C 40.220 Seminarraum |
Studienplankontext
Report (20%)
Presentation (20%)
Wiederholungstermin: Zu dieser Prüfung wird kein Wiederholungstermin angeboten, da sie didaktisch untrennbar mit einer der zugeordneten Lehrveranstaltungen verbunden ist. Die Wiederholung der Prüfungsleistung ist somit erst bei erneutem Modulangebot möglich.
Organisatorisches
Anmeldung
Die Anmeldung endete am 07.4.2026 um 23:59 Uhr
Personen
Inhaltliches
This course introduces the fundamentals and modern methods of Information Extraction (IE). Students learn classical rule-based and statistical techniques as well as machine-learning and neural approaches, ending with LLM-based structured extraction. The course includes practical implementation of IE pipelines using Python and Pydantic for schema definition and validation.
The objective of this course is to provide students with a solid understanding of core information extraction concepts and methods, from classical rule-based and statistical techniques to modern neural and transformer-based approaches. Students will learn to design and implement structured extraction workflows using LLMs, apply schema enforcement with Pydantic, and develop a complete end-to-end IE system capable of converting unstructured documents into validated structured data.
Evaluation
Weitere Informationen zur Lehrevaluation: https://www.leuphana.de/lehre/qualitaetsmanagement/evaluation-feedback.html