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)
- Borst-Graetz, J.; Meinecke, C.; Wiegreffe, D.; Niekler, A.A demonstration system towards NLP and knowledge driven data platforms for Civil EngineeringINFORMATIK 2022. 2022. pp. 271–282.DOI: 10.18420/inf2022_25
- 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.
- Yousef, T.; Schlaf, A.; Borst-Graetz, J.; Niekler, A.; Heyer, G.Press Freedom Monitor: Detection of Reported Press and Media Freedom Violations in Twitter and News Articles2021. pp. 153–159.