Marie Bexte

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Marie Bexte, MSc Photo: Hardy Welsch

Marie Bexte, MSc

Research assistant at the professorship "Computational Linguistics"

Email: marie.bexte

Universitätsstraße 27 – PRG / Building 5
Room A107 / 1. OG
58097 Hagen

What is my role within CATALPA?

As a research assistant in computational linguistics, I focus on the automated evaluation of image-based tasks.

Why CATALPA?

The research center gives me the opportunity to exchange ideas with other researchers that work on related topics and have a different perspective on my work. In addition, the FernUniversität is a great environment to try out new approaches.

    • Research Assistant at the research professorship "Computational Linguistics" (since April 2022)
    • Research Assistant at the "Language Technology Lab" at the University of Duisburg-Essen (March 2021 – March 2022)
    • MSc Applied Cognitive and Media Science (Cognition and Artifical Intelligence) (2021)
    • BSc Applied Cognitive and Media Science (2018)

    • Automatic content scoring
    • Image-based tasks

  • I am currently working in different projects of the professorship "Computational Linguistics".

  • 2024

    Conferences

    • Bexte, M., Horbach, A., & Zesch, T. (2024). Rainbow – a benchmark for systematic testing of how sensitive visio-linguistic models are to color naming. In Y. Graham & M. Purver (Eds.), 18th conference of the european chapter of the association for computational linguistics (pp. 1858–1875). Association for Computational Linguistics. https://openreview.net/forum?id=0x4Bg1sNDo

    2023

    Conferences

    • Bexte, M., Horbach, A., & Zesch, T. (2023). Similarity-based content scoring - a more classroom-suitable alternative to instance-based scoring? Findings of the Association for Computational Linguistics: ACL 2023, 1892–1903. https://aclanthology.org/2023.findings-acl.119
    • Ding, Y., Bexte, M., & Horbach, A. (2023a). CATALPA_EduNLP at PragTag-2023. In M. Alshomary, C.-C. Chen, S. Muresan, J. Park, & J. Romberg (Eds.), Proceedings of the 10th workshop on argument mining (pp. 197–201). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.argmining-1.22
    • Ding, Y., Bexte, M., & Horbach, A. (2023b). Score it all together: A multi-task learning study on automatic scoring of argumentative essays. Findings of the Association for Computational Linguistics: ACL 2023, 13052–13063. https://aclanthology.org/2023.findings-acl.825

    2022

    Conferences

    • Bexte, M., Horbach, A., & Zesch, T. (2022). Similarity-based content scoring - how to make S-BERT keep up with BERT. Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 118–123. https://aclanthology.org/2022.bea-1.16
    • Bexte, M., Laarmann-Quante, R., Horbach, A., & Zesch, T. (2022). LeSpell - a multi-lingual benchmark corpus of spelling errors to develop spellchecking methods for learner language. Proceedings of the Language Resources and Evaluation Conference, 697–706. https://aclanthology.org/2022.lrec-1.73
    • Ding, Y., Bexte, M., & Horbach, A. (2022). Don’t drop the topic - the role of the prompt in argument identification in student writing. Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 124–133. https://aclanthology.org/2022.bea-1.17

    2021

    Conferences

    • Bexte, M., Horbach, A., & Zesch, T. (2021). Implicit Phenomena in Short-answer Scoring Data. Proceedings of the First Workshop on Understanding Implicit and Underspecified Language.
    • Schäfer, H., Idrissi-Yaghir, A., Galetzka, W., Bexte, M., & Friedrich, C. M. (2021). WisPerMed text at TREC clinical trials track 2021. In 30th Text REtrieval Conference, 7.

    2020

    Conferences

    • Horbach, A., Aldabe, I., Bexte, M., Lacalle, O. de, & Maritxalar, M. (2020). Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions. Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC-2020). https://www.aclweb.org/anthology/2020.lrec-1.217.pdf

    2018

    Conferences

    • Gold, D., Bexte, M., & Zesch, T. (2018). Corpus of Aspect-based Sentiment in Political Debates. KONVENS, 89–99.

Research Professorship Computational Linguistics | 22.04.2024