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• [6]
  

  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
   
• [5]
  

  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
   
• [4]
  

  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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• [3]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967315

  Alaçam, Ö., Ruppert, E., Malhotra, G., Biemann, C., & Zarrieß, S. (2022). Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. In Y. He, H. Yi, S. Li, Y. Liu, & C. - H. Chang (Eds.), Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 (pp. 197-210). Stroudsburg, PA: Association for Computational Linguistics.

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• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2967316

  Alaçam, Ö., Schüz, S., Wegrzyn, M., Kißler, J., & Zarrieß, S. (2022). Exploring Semantic Spaces for Detecting Clustering and Switching in Verbal Fluency. Proceedings of the 29th International Conference on Computational Linguistics, Coling, 29(2022), 178-191. International Committee on Computational Linguistics.

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• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965224

  Voigt, H., Alaçam, Ö., Meuschke, M., Lawonn, K., & Zarrieß, S. (2022). The Why and The How: A Survey on Natural Language Interaction in Visualization. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 348-374. Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.naacl-main.27

  PUB | DOI