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• [5]
  

  2024 | Konferenzbeitrag | PUB-ID: 3001934

  Alaçam, Ö., Hoeken, S., & Zarrieß, S. (2024). Eyes Don`t Lie: Subjective Hate Annotation and Detection with Gaze. In Y. Al-Onaizan, M. Bansal, & Y. - N. Chen (Eds.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 187-205). Miami, Florida, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.11

  PUB | DOI | Download (ext.)
   
• [4]
  

  2024 | Report | Veröffentlicht | PUB-ID: 2992602

  Hammer, B., Alaçam, Ö., Arlinghaus, C. S., Brinkmann, M., Dörksen, H., Hoeken, S., Jungeblut, T., et al. (2024). Sustainable Life-Cycle of Intelligent Socio-Technical Systems. https://doi.org/10.4119/unibi/2992602

  PUB | Dateien verfügbar | DOI
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2986803

  Hoeken, S., Spliethoff, S., Schwandt, S., Zarrieß, S., & Alaçam, Ö. (2023). Towards Detecting Lexical Change of Hate Speech in Historical Data. In N. Tahmasebi (Ed.), Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change (pp. 100-111). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.lchange-1.11

  PUB | DOI
   
• [2]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987176

  Hoeken, S., Alaçam, Ö., Fokkens, A., & Sommerauer, P. (2023). Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models. In H. Bouamor, J. Pino, & K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 3662-3675). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.237

  PUB | DOI
   
• [1]
  

  2023 | Konferenzbeitrag | PUB-ID: 2981214

  Hoeken, S., Zarrieß, S., & Alaçam, Ö. (2023). Identifying Slurs and Lexical Hate Speech via Light-Weight Dimension Projection in Embedding Space. Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, 278-289. Toronto, Canada: Association for Computational Linguistics.

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