@inproceedings{bilstrup-etal-2026-sentiment-interpretation,
    title = "From Sentiment to Interpretation: Teaching {NLP} for Literary Understanding Across Educational Contexts",
    author = "Bilstrup, Karl-Emil Kj{\ae}r  and
      Degn, Kirstine Nielsen  and
      Schultz, Morten  and
      Conroy, Alexander  and
      Bjerring-Hansen, Jens  and
      Hershcovich, Daniel",
    editor = {A{\ss}enmacher, Matthias  and
      Biester, Laura  and
      Borg, Claudia  and
      Kov{\'a}cs, Gy{\"o}rgy  and
      Mieskes, Margot  and
      Serrano, Sofia},
    booktitle = "Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.teachingnlp-1.16/",
    pages = "118--128",
    ISBN = "979-8-89176-375-3",
    abstract = "We developed Litteraturmaskinen, a graphical annotation and exploration interface that enables students to collaborate on labeling sentiment in literary passages, comparing their decisions with model predictions, and justifying their interpretations. We deployed the system in two educational settings: A university module on computational literary studies and regular teaching by two first-language high school teachers. Based on observations, collected teaching plans, and interviews, we find that tensions between epistemic and academic traditions are both a barrier for integration and a productive entry point for literary reflection and argumentation. We conclude with recommendations for integrating NLP into literature and first-language curricula."
}