Profile
Abstract
Current research interest focuses on basics and applications of neural networks in low-resource environments (fewshot, zeroshot).
Professional career
- since 06/2022
Research Fellow - Leipzig University - Computational Humanities - 10/2018 - 05/2022
Research Fellow - Leipzig University - Natural Language Processing Group
- Data Mining and Value CreationScheuermann, GerikDuration: 04/2018 – 03/2022Funded by: EU Europäischer Fonds für regionale Entwicklung (EFRE)Involved organisational units of Leipzig University: Bild- und Signalverarbeitung; WINF/Informationssysteme in der Logistik; Innovationsmanagement/-ökonomie (IMW); Automatische Sprachverarbeitung
- Borst-Graetz, J.; Niekler, A.; Koerner, E.; Opasjumruskit, K.Language Model CNN-driven similarity matching and classification for HTML-embedded Product Data2020.
- Niekler, A.; Borst-Graetz, J.; Wencker, T.Using Text Classification with a Bayesian Correction for Estimating Overreporting in the Creditor Reporting System on Climate Adaptation Finance (2022)
- Yousef, T.; Schlaf, A.; Bock, B.; Borst-Graetz, J.; Niekler, A.; Heyer, G.Towards Automatic Detection of Reported Press and Media Freedom Violations in Twitter and News ArticlesIn: Hendrickx, I.; Verheijen, L.; van de Wijngaert, L. (Eds.)of the 8th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora (CMC-Corpora 2021). 2021.
- Borst-Graetz, J.; Wehrheim, L.; Niekler, A.; Burghardt, M.An Evaluation of a Zero-Shot Approach to Aspect-Based Sentiment Classification in Historic German Stock Market ReportsIn: Ganzha, M.; Maciaszek, L. A.; Paprzycki, M.; Ślęzak, D. (Eds.)Communication Papers of the 18th Conference on Computer Science and Intelligence Systems (ACSIS). Polish Information Processing Society. 2023. pp. 51–60.DOI: 10.15439/2023F3725
- Klähn, J. T.; Borst-Graetz, J.; Burghardt, M.Death of the Dictionary? The Rise of Zero-Shot Sentiment ClassificationIn: Šeļa, A.; Jannidis, F.; Romanowska, I. (Eds.)Proceedings of the Computational Humanities Research Conference 2023. CEUR-WS. 2023. pp. 303–319.