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Janos Borst-Graetz

Research Fellow

Computational Humanities (JP)
Paulinum
Augustusplatz 10, Room P 614
04109 Leipzig

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 Creation
    Scheuermann, Gerik
    Duration: 04/2018 – 03/2022
    Funded 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
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more projects

  • Borst-Graetz, J.; Niekler, A.; Körner, E.; Opasjumruskit, K.
    Language Model CNN-driven similarity matching and classification for HTML-embedded Product Data
    2020.
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  • 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)
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  • Borst-Graetz, J.; Meinecke, C.; Wiegreffe, D.; Niekler, A.
    A demonstration system towards NLP and knowledge driven data platforms for Civil Engineering
    INFORMATIK 2022. 2022. pp. 271–282.
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  • 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 Articles
    In: 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.
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  • 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 Articles
    2021. pp. 153–159.
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more publications