Pia Pachinger

Projektass.in Dipl.-Ing.in / BSc

Pia Pachinger

Role

PreDoc Researcher
Data Science, E194-04

Contact

Publications

A Dataset for Span-Based Austrian German and English Offensive Language Detection / Pachinger, P., Goldzycher, J., Planitzer, A. M., Kusa, W., Hanbury, A., & Neidhardt, J. (2024, June 20). A Dataset for Span-Based Austrian German and English Offensive Language Detection [Poster Presentation]. Workshop on Online Abuse and Harms 2024, Mexico City, Mexico. http://hdl.handle.net/20.500.12708/210352
Projects: CDL-RecSys (2022–2028) / TACo (2021–2025)
User-Centric Offensive Text Detection in a Culture-Specific Contexts: A PhD Proposal / Pachinger, P. (2024, June 18). User-Centric Offensive Text Detection in a Culture-Specific Contexts: A PhD Proposal [Conference Presentation]. 2024 Annual Conference of the Nations of the Americas, Mexico City, Mexico.
Project: TACo (2021–2025)
AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection / Pachinger, P., Goldzycher, J., Planitzer, A. M., Kusa, W., Hanbury, A., & Neidhardt, J. (2024). AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection. In The 62nd Annual Meeting of the Association for Computational Linguistics : Findings of the Association for Computational Linguistics: ACL 2024 (pp. 11990–12001). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.713
Projects: CDL-RecSys (2022–2028) / TACo (2021–2025)
Toward Disambiguating the Definitions of Abusive, Offensive, Toxic, and Uncivil Comments / Pachinger, P., Hanbury, A., Neidhardt, J., & Planitzer, A. M. (2023). Toward Disambiguating the Definitions of Abusive, Offensive, Toxic, and Uncivil Comments. In Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP) (pp. 107–113). https://doi.org/10.18653/v1/2023.c3nlp-1.11
Projects: CDL-RecSys (2022–2028) / TACo (2021–2025)
A Recommender system for scientific referees based on bibliographic databases and KGs / Pachinger, P. S. (2022). A Recommender system for scientific referees based on bibliographic databases and KGs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.94880
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