2026W

• E-Commerce / 188.427 / VU

• Designing an Annotation Framework for Creating a Health Dataset from Layperson Medical Forums in Bahasa Indonesia
  2025 – 2026 / Austrian Exchange Service (OeAD)
  Publication: 230351

• AnnoHID: LLM-Assisted Annotation Framework for Low-Resource Medical Texts / Ningtyas, A. M., Herwanto, G. B., Sari, Y., Putri, R. A., Kovacevic, F., El-Ebshihy, A., Arzt, V., & Piroi, F. (2026). AnnoHID: LLM-Assisted Annotation Framework for Low-Resource Medical Texts. In G. Durrett & P. Jian (Eds.), Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (pp. 683–691). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.acl-demo.67
  Project: ANOHID (2025–2026)
• Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE / Arzt, V., Hanbury, A., Wiegand, M., Recski, G., & Blevins, T. (2025). Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (pp. 1463–1484). https://doi.org/10.18653/v1/2025.ijcnlp-long.81
• TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection / Arzt, V., Azarbeik, M. M., Lasy, I., Kerl, T., & Recski, G. (2024). TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection. In A. K. Ojha, A. S. Dogruöz, H. Tayyar Madabushi, G. Da San Martino, S. Rosenthal, & A. Rosá (Eds.), Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) (pp. 1183–1196). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.semeval-1.173
• Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards / Arzt, V., & Hanbury, A. (2024). Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards. In D. Hupkes, V. Dankers, K. Batsuren, A. Kazemnejad, C. Christodoulopoulos, M. Giulianelli, & R. Cotterel (Eds.), Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP (pp. 120–130). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.genbench-1.8