@inproceedings{shin-etal-2026-open,
    title = "Open-access Dataset on Acceptability Ratings of {K}orean Clausal Constructions by Humans and {GPT} Models",
    author = "Shin, Gyu-Ho  and
      Lee, Soo-Hwan  and
      Lee, Chanyoung",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/paragraph-normalization/2026.lrec-1.23/",
    doi = "10.63317/2icd7h29b849",
    pages = "344--356",
    abstract = "The present study introduces a new, open-access dataset on acceptability ratings of Korean clausal constructions at the morphosyntax{--}semantics interface (dative, passive, and negative polarity item). The dataset comprises (i) linguistically controlled sentence materials, (ii) ratings from targeted adult populations (individuals in their 20s), and (iii) parallel ratings from GPT variants (including ChatGPT). Alongside the release, we assess the alignment between GPT- and human-derived ratings to probe the extent to which GPT architectures can approximate patterns of human sentence comprehension."
}