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420011 SE Bring your own (corpus): An introduction to the opportunities and challenges of machine learning (2018W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 17.09.2018 09:00 to Mo 15.10.2018 08:00
- Deregistration possible until Mo 22.10.2018 08:00
Details
max. 20 participants
Language: German
Lecturers
Classes
The colloquium will take place Tuesdays 2:30 to 4:00 pm in Sin 2 at the Department of East Asian studies (Campus, Entrance 2.3)
Information
Aims, contents and method of the course
The aim of the seminar is to demonstrate the opportunities and limitations of machine learning algorithms. The demonstration will be based on corpora supplied by the participants or texts downloaded from databases or scraped from websites. We will demonstrate how algorithms can aid the identification of patterns of meaning and making text amenable for statistical analysis. Participants will also learn how methods of corpus linguistics can be applied to texts in various languages and how sources can be classified using a variety of technologies. Specifically, they will learn where machine learning technologies can be usefully applied to their own dissertation projects, and where the use of machine learning is not recommended. The participants are required to briefly introduce their projects. Based on this, possible applications of machine learning algorithms will be identified, demonstrated and critically evaluated.
Assessment and permitted materials
Short presentation based and exposé, active participation.
Minimum requirements and assessment criteria
Exposé (40%}, presentation (40%), active participation (20%}.
Examination topics
To be decided for each individual dissertation.
Reading list
To be announced during the seminar.
Association in the course directory
Last modified: Mo 01.10.2018 17:28