summer school:
16 -19 Sept 2024
Deep Learning for Language Analysis
Registration for this year is closed
summer school
The 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. This year the summer school will be in presence again, taking place at the University of Cologne.
Participants can choose between two alternative workshop tracks:
- “Deep Learning with Audio & Speech Data”, given by Paul Wallbott
- “Prompting, Evaluation, Interpretation. An Introduction to LLMs in Text Analysis”, given by Axel Pichler (University of Stuttgart) and Janis Pagel (University of Cologne)
Keynote Talk
Agnieszka Faleńska
Gender Bias in Natural Language Processing: Origins and Consequences
The talk will discuss the origins and implications of gender biases in NLP models, focusing on understanding how these biases emerge from language. Through a series of case studies, I will present inequalities present in commonly used datasets such as Wikipedia, instructional texts, and online discussion forums. These case studies will highlight how subtle biases in data can influence the outputs of NLP models, potentially perpetuating harmful stereotypes and inequities.
The talk aims to provide the summer school participants with insights into the importance of mitigating biases in their own work with deep learning models. The discussion will emphasize the need for a careful approach to data selection and model development to ensure that the tools they create contribute to more equitable outcomes.
Summer school Schedule
16-19 September 2024
Starting MON 16.09. at noon
Ending THU 19.09. at 3pm
MON (16 Sep)
am
Welcome
Welcome / Registration from 1pm (Foyer, S01)
14:00-15:30
Keynote Talk
(S01)
15:30-16:00
coffee break
16:00-17:30
Text / Audio
Workshop Pre-Session
(S24 / S26)
Tue (17 Sep)
09:00-10:30
Text / Audio
Workshop I
(S24 / S26)
10:30-11:00
coffee break
11:00-12:30
Text / Audio
Workshop II
(S24 / S26)
12:30-14:00
lunch break
14:00-15:30
Text / Audio
Workshop III
(S24 / S26)
15:30-16:00
coffee break
16:00-17:30
Text / Audio
Workshop IV
(S24 / S26)
19:00-22:00
Dinner at brewery
Wed (18 Sep)
09:00-10:30
Text / Audio
Workshop V
(S24 / S26)
10:30-11:00
coffee break
11:00-12:30
Text / Audio
Workshop VI
(S24 / S26)
12:30-14:00
lunch break
14:00-15:30
Text / Audio
Workshop VII
(S24 / S26)
15:30-16:00
coffee break
16:00-17:30
Discussion Session
thu (19 Sep)
09:00-10:30
Text / Audio
Workshop VIII
(S24 / S26)
10:30-11:00
coffee break
11:00-12:30
Group Presentations – Preparation
(S24/S26)
12:30-14:00
lunch break
14:00-15:30
Group Presentations / Closing Session
(Foyer, 2nd floor)
Venue:
Seminar Building 106
Universitätsstraße 37, 50931 Köln.
Seminar rooms S01 (ground floor), S24 / S26 (2nd floor)
Floorplan available here
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 as well. Basic knowledge of Python is presumed.
Contact:
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).
