I’m a 3rd year PhD student at the Research Group Data Mining and Machine Learning at the University of Vienna and work at the Volkswagen Data:Lab in Munich.
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März, L., Asgari, E., Braune, F., Zimmermann, F., & Roth, B. (2022). XPASC: Measuring Generalization in Weak Supervision by Explainability and Association.. ArXive preprint: 2206.01444
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Schweter, S., März, L., Schmid, K., & Çano, E. (2022). hmBERT: Historical Multilingual Language Models for Named Entity Recognition. In: Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - 8th, 2022.
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März L., Asgari E., Braune F., Zimmermann F., Roth B. (2021). KnowMAN: Weakly Supervised Multinomial Networks. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 9549–9557, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
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März L., Schweter S., Poerner N., Roth B., Schütze H. (2021). Data Centric Domain Adaptation for Historical Text with OCR Errors. In: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition – ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science, vol 12822. Springer, Cham. https://doi.org/10.1007/978-3-030-86331-9_48
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Schweter, S., & März, L. (2020). Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German. CLEF 2020.
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März, L., Trautmann, D., & Roth, B. (2019). Domain adaptation for part-of-speech tagging of noisy user-generated text. NAACL 2019.
You can either tag me (@LuisaMaerz) or contact me via LinkedIn