<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="weiss-etal-2025-enriching">
    <titleInfo>
        <title>Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Zarah</namePart>
        <namePart type="family">Weiss</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Christof</namePart>
        <namePart type="family">Meyer</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mikael</namePart>
        <namePart type="family">Andersson</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Georg</namePart>
            <namePart type="family">Rehm</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yunyao</namePart>
            <namePart type="family">Li</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vienna, Austria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-288-6</identifier>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">weiss-etal-2025-enriching</identifier>
    <identifier type="doi">10.18653/v1/2025.acl-industry.56</identifier>
    <location>
        <url>https://aclanthology.org/2025.acl-industry.56/</url>
    </location>
    <part>
        <date>2025-07</date>
        <extent unit="page">
            <start>804</start>
            <end>812</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets
%A Weiss, Zarah
%A Meyer, Christof
%A Andersson, Mikael
%Y Rehm, Georg
%Y Li, Yunyao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-288-6
%F weiss-etal-2025-enriching
%X 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.
%R 10.18653/v1/2025.acl-industry.56
%U https://aclanthology.org/2025.acl-industry.56/
%U https://doi.org/10.18653/v1/2025.acl-industry.56
%P 804-812

Markdown (Informal)

[Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets](https://aclanthology.org/2025.acl-industry.56/) (Weiss et al., ACL 2025)

• Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets (Weiss et al., ACL 2025)

ACL

• Zarah Weiss, Christof Meyer, and Mikael Andersson. 2025. Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), pages 804–812, Vienna, Austria. Association for Computational Linguistics.