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• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985222

  Sieker J, Zarrieß S (2023)
  When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle.
  In: Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP. Belinkov Y, Hao S, Jumelet J, Kim N, McCarthy A, Mohebbi H, Association for Computational Linguistics (Eds); 180–198.

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• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376

  Sieker J, Bott O, Solstad T, Zarrieß S (2023)
  Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models.
  In: Proceedings of the 16th International Natural Language Generation Conference. Keet CM, Lee H-Y, Zarrieß S, Association for Computational Linguistics (Eds); 206–220.

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• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968165

  Sieker J, Solstad T (2022)
  Projective variability of (semi)factive verbs in family of sentence contexts: A rating study.
  In: Proceedings of the 23rd Amsterdam Colloquium . Degano M, Roberts T, Sbardolini G, Schouwstra M, Institute for Logic, Language and Computation (ILLC) (Eds); Amsterdam: 282-289.

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• [1]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490

  Reiter N, Sieker J, Guhr S, Gius E, Zarrieß S (2022)
  Exploring Text Recombination for Automatic Narrative Level Detection.
  In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA): 3346-3353.

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