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virtual summer school:

Deep Learning for
Language Analysis

Aug 31 – Sep 4, 2020

 

The virtual summer school „Deep Learning for Language Analysis” addresses students and doctoral candidates from Linguistics and Digital Humanities, as well as other fields that are involved with the application of machine learning techniques.

Participants can choose between two alternative tracks

Deep Learning with Audio & Speech Data, given by Joscha Rieber (Fraunhofer IAIS)
Text Analysis with Deep Learning, given by Nils Reiter (UoC)

Subsequently, a hands-on course on natural language processing will be provided by the NVIDIA Deep Learning Institute. You can get practical experience powered by GPUs in the cloud and earn a certificate.

During the summer school, there will also be a panel session on practical applications of machine learning, with short presentations by Birgit Kirsch (Fraunhofer IAIS, Natural Language Understanding), Bernd Müller (ZB MED – Informationszentrum Lebenswissenschaften), David Biesner and Lars Hillebrand (Universität Bonn/Fraunhofer IAIS), followed by a panel discussion.

This event will be accessible also without registration to the summer school.

Registration // Contact

The school is mainly aimed at students and doctoral candidates from linguistics and digital humanities, but participants from other fields who are interested in machine learning are welcome to apply as well. Basic knowledge of Python and Docker is presumed.

To apply, please send an email to ml-school@uni-koeln.de by August 5th, 2020 with the subject „Registration – <Your Complete Name>“ and the following information (included in the email text):

a) Your highest academic degree including discipline or area (e.g. „BSc/MSc/PhD Linguistics“)
b) Information on your current academic position including discipline or area of work (e.g. „MSc/PhD/Postdoc linguistics/digital humanities“)
c) Your current Institution (e.g. „University of Cologne“)
d) A (very short) description of a project where you used Python. Previous knowledge of machine learning, if applicable.
e) Which one of the parallel tracks you want to attend, or your preference if both are appealing to you.
f) 2-3 sentences explaining your motivation to attend the workshop.

There is no registration fee. The whole summer school will take place virtually.

Deadline for registration: August 5th, 2020
Notification: August 17th, 2020
Summer School: August 31st – September 4th

Schedule (all times are CEST)

Organization

The school is funded by the University of Cologne’s Competence Area III (CA3: Quantitative Modeling of Complex Systems) and organized in cooperation with the Center for Data and Simulation Science (CDS), the Department for Digital Humanities (IDH), the Cologne Center for eHumanities (CCeH), and the Data Center for the Humanities (DCH).
Further organizational details will be announced on this website and via e-mail after the application deadline (August 5th, 2020).
For any questions, please contact ml-school@uni-koeln.de

Scientific Organizers: Jürgen Hermes (IDH), Nils Reiter (IDH), Claes Neuefeind (CCeH) and Felix Rau (DCH)