@inproceedings{weiss-etal-2025-enriching,
    title = "Enriching children{'}s stories with {LLM}s: Delivering multilingual data enrichment for children{'}s books at scale and across markets",
    author = "Weiss, Zarah  and
      Meyer, Christof  and
      Andersson, Mikael",
    editor = "Rehm, Georg  and
      Li, Yunyao",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.acl-industry.56/",
    doi = "10.18653/v1/2025.acl-industry.56",
    pages = "804--812",
    ISBN = "979-8-89176-288-6",
    abstract = "This paper presents a user-centered, empirically guided approach to multilingual metadata enrichment for children{'}s books. We combine LLMs with human-in-the-loop quality control in a scalable CI/CD pipeline to curate brand collections that enhance book discovery and engagement for young readers across multiple European markets. Our results demonstrate that this hybrid approach delivers high-quality, child-appropriate labels, improves user experience, and accelerates deployment in real-world production environments. This work offers practical insights for applying generative NLP in the media and publishing industry."
}