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Information Systems and Applied Computer Sciences

Fundamentals of Natural Language Processing

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Applied Computer Science
  6. Fundamentals of Natural Language Processing
  7. Team
  8. Christopher Bagdon

Christopher Bagdon

Christopher Bagdon is a PHD researcher working on the ITEM Project, investigating multi-modal emotion analysis. He studied Computational Linguistics first at the University of Tübingen, where he focused on hate speech detection. He then continued studying Computational Linguistics at the University of Stuttgart, shifting his focus to emotion analysis and automated annotation using Best-worst Scaling. Before beginning his studies in Germany he was an English teacher in Japan.

Publications

Bagdon, Christopher Doyle et al. (2025): Donate or Create?: Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 17307–17330.

Schäfer, Johannes et al. (2025): Which Demographics do LLMs Default to During Annotation?. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 17331–17348.

Bagdon, Christopher Doyle et al. (2024): “You are an expert annotator”: Automatic Best–Worst-Scaling Annotations for Emotion Intensity Modeling. In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Mexico City, Mexico: Association for Computational Linguistics. S. 7917–7929.