Hans Ole Hatzel

Hi, I am Hans, a doctoral student working under the supervision of Prof. Chris Biemann. I work on the EvENT project, which aligns with my interests in machine learning-driven information extraction. Check out my master's thesis, which deals with the automated detection of spoilers using deep learning with social media posts serving as training data.

Publications

• Hatzel, H., Petersen-Frey, F.,  Fischer, T., Biemann, C. (2023): Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity - European Conference on Artificial Intelligence 2023 (pdf)
• Hatzel, H,. Stiemer, H., Biemann, C. and Gius, E. (2023): Machine learning in computational literary studies. it - Information Technology. (pdf)
• Hatzel, H., Biemann, C. (2023): Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings. In Proceedings of the 5th Workshop on Narrative Understanding, Toronto, Canada. Association for Computational Linguistics (pdf)
• Hatzel, H., Gius, E., Stiemer, H., Biemann, C. (2023): Handlung und Narrativität - Zum Verhältnis von Handlungszusammenfassungen und relevanten Ereignissen. Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier. (pdf)
• Vauth, M., Hatzel, H., Gius, E., Biemann, C. (2021): Automated Event Annotation in Literary Texts, Proceedings of the Conference on Computational Humanities Research 2021 (CHR 2021), Amsterdam, Netherlands (pdf)
• Hatzel, H., Biemann, C. (2021): LTUHH@STSS: Applying Coreference to Literary Scene Segmentation, Proceedings of the Shared Task on Scene Segmentation, Düsseldorf, Germany (pdf)
• Schröder, F., Hatzel, H., Biemann, C. (2021): Neural End-to-end Coreference Resolution for German in Different Domains (pdf, git)
• Hatzel, H., Biemann, C. (2021): Towards Layered Events and Schema Representations in Long Documents, NAACL 2021 Student Research Workshop, Mexico City, Mexico (pdf)