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Institut für Computerlinguistik

Janis Goldzycher

Janis Goldzycher, M.A.

  • PhD Candidate
  • Text Technologies
Tel.
+41 44 635 72 46
Raumbezeichnung
AND 2.20

I am a PhD candidate in natural language processing focusing on the detection and analysis of hateful language online. I work for the project Argument Structures in the Automatic Detection of Intolerance and Extremism, part of an interdisciplinary research focus on Digital Religion(s).

Previously, I contributed to the GeoKokos and AQDIV research projects.

Research Interests

  • hate speech and abusive language detection
  • low-resource NLP
  • robustness
  • computational social science

News

Publications

Janis Goldzycher, Paul Röttger, and Gerold Schneider. 2024. Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset.To appear in the Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexiko, Mexiko City, June 17–19.

Marcel Caesmann, Janis Goldzycher, Matteo Grigoletto, Lorenz Gschwent. 2024. Censorship in Democracy. ArXiv preprint: 2406.03393.

Janis Goldzycher, Moritz Preisig, Chantal Amrhein, and Gerold Schneider. 2023. Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data. In The 7th Workshop on Online Abuse and Harms (WOAH), pages 187–201, Toronto, Canada. Association for Computational Linguistics.

Janis Goldzycher. 2023. CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1562–1572, Toronto, Canada. Association for Computational Linguistics.

Janis Goldzycher, Gerold Schneider. 2022.Hypothesis Engineering for Zero-Shot Hate Speech Detection. In Proceedings of the Third Workshop on Threat, Aggression and Cyberbullying (TRAC 2022), pages 75–90, Gyeongju, Republic of Korea, 17 October 2022. Association for Computational Linguistics.

Janis, Goldzycher, Jonathan Schaber. 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.

Janis Goldzycher, Isabel Meraner, Martin Volk, Simon Clematide. 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.

Tannon Kew, Anastassia Shaitarova, Isabel Meraner, Simon Clematide, Janis Goldzycher, Martin Volk. 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 Lecturer 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 TA for Programming Techniques for Computational Linguistics II
HS 2017

TA for Programming Techniques for

Computational Linguistics III

FS 2017

TA for Introduction to Computational Linguistics II

HS 2016 TA for Introduction to Computational Linguistics I

Education