This seminars involves the creation of effective systems for the processing of text by means of statistical methods. There will be significant challenge in integrating these components into a scalable system that can handle the large amount of data required to obtain high accuracy. In addition to the technical challenges in this course, the students will be required to read recent research papers related to the task and integrate these results into their solutions.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-Inf-SNLP Statistical Natural Language Processing | Introduction to Statistical Natural Language Processing | Student information | |
- | Ungraded examination Graded examination | Student information | |
39-Inf-WP-DS Data Science (Basis) | Einführende Vorlesung | Student information | |
- | Graded examination | Student information | |
39-Inf-WP-KI Künstliche Intelligenz (Basis) | Einführende Vorlesung | Student information | |
- | Graded examination | Student information | |
39-M-Inf-AI-adv-foc Advanced Artificial Intelligence (focus) | Advanced Artificial Intelligence (focus): Vorlesung | Graded examination
|
Student information |
39-M-Inf-AI-bas Basics of Artificial Intelligence | Basics of Artificial Intelligence: Vorlesung | Student information | |
- | Ungraded examination | Student information | |
39-M-Inf-TMKD Text Mining and Knowledge Discovery | Text Mining and Knowledge Discovery | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: