I am a PhD student working for the project Argument Structures in the Automatic Detection of Intolerance and Extremism under the supervision of Gerold Schneider and Martin Volk.
My main interests lie in developing methods for natural language understanding and using these techniques to analyze social phenomena on a large scale. Accordingly, I am currently focused on argument mining, stance detection, hate speech detection and alike.
Previously, I was part of the GeoKokos-Team lead by Simon Clematide.
Education
- Since August 2021: PhD student at the Department of Computational Linguistics
- 2019 - 2021: MA in Computational Linguistics and Language Technology (90) and Philosophy (30) at the University of Zurich
- 2015 - 2019: BA in Computational Linguistics and Language Technology (90), Philosophy (60) and General Linguistics (30) at the University of Zurich
Publications
Goldzycher, Janis; Schaber, Jonathan (2020). Detecting Noisy Swiss German Web Text Using RNN-and Rule-Based Techniques. In: 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Zurich, 23 June 2020 - 25 June 2020, online.
Goldzycher, Janis; Meraner, Isabel; Volk, Martin; Clematide, Simon (2020). Ranking Georeferences for Efficient Crowdsourcing of Toponym Annotations in a Historical Corpus of Alpine Texts. In: 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Zurich, 23 June 2020 - 25 June 2020, online.
Kew, Tannon; Shaitarova, Anastassia; Meraner, Isabel; Clematide, Simon; Goldzycher, Janis; Volk, Martin (2019). Geotagging a diachronic corpus of alpine texts: comparing distinct approaches to toponym recognition. In: RANLP 2019, Workshop on Language technology for digital historical archives with a special focus on Central-, (South-)Eastern Europe, Middle East and North Africa, Varna, Bulgaria, 5 September 2019 - 5 September 2019, 11-18.
Teaching
FS 2022 | Hate Speech Detection together with Martin Volk |
HS 2021 | TA for Machine Learning for Natural Language Processing I |
HS 2020 | TA for Machine Learning for Natural Language Processing I |
FS 2018 | Tutor for Programming Techniques for Computational Linguistics II |
HS 2017 |
TA for Programming Techniques for Computational Linguistics III |
FS 2017 |
Tutor for Introduction to Computational Linguistics II |
HS 2016 | Tutor for Introduction to Computational Linguistics I |