4 Publikationen
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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 Y. Belinkov, et al., eds. Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP. pp. 180–198.PUB | PDF | Download (ext.) -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983376
Sieker, J., et al., 2023. Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. In C. M. Keet, et al., eds. Proceedings of the 16th International Natural Language Generation Conference. pp. 206–220.PUB | PDF | Download (ext.)
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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 M. Degano, et al., eds. Proceedings of the 23rd Amsterdam Colloquium . Amsterdam, pp. 282-289.PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965490
Reiter, N., et al., 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), pp. 3346-3353.PUB | PDF | Download (ext.)