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        <title>Story-Yarn : An Interactive Story Building Application</title>
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    <name type="personal">
        <namePart type="given">Hryadyansh</namePart>
        <namePart type="family">Saraswat</namePart>
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        <namePart type="given">Snehal</namePart>
        <namePart type="family">D. Shete</namePart>
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    <name type="personal">
        <namePart type="given">Anuj</namePart>
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    <name type="personal">
        <namePart type="given">Aditya</namePart>
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            <namePart type="family">Lalitha Devi</namePart>
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            <namePart type="given">Karunesh</namePart>
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    <abstract>Story building is an important part of language and overall development of a child. Developing an interactive and artificial intelligence (AI) based solution to create stories for children is an open and challenging problem. Methods combining large language models (LLMs) and knowledge graphs (KGs) have further enabled high quality and coherent story generation. In this work, we present a platform, Story Yarn, developed for interactive story creation for children. We customise a KG, using children stories, which captures relationships between components of stories. This customised KG is then used along with LLM to collaboratively create a story. We have also built a simple app to facilitate user interaction. This platform can aid the creative development of children, and can be used at home or in schools.</abstract>
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%0 Conference Proceedings
%T Story-Yarn : An Interactive Story Building Application
%A Saraswat, Hryadyansh
%A D. Shete, Snehal
%A Dangi, Vikas
%A Agrawal, Kushagra
%A Aggarwal, Anuj
%A Nigam, Aditya
%Y Lalitha Devi, Sobha
%Y Arora, Karunesh
%S Proceedings of the 21st International Conference on Natural Language Processing (ICON)
%D 2024
%8 December
%I NLP Association of India (NLPAI)
%C AU-KBC Research Centre, Chennai, India
%F saraswat-etal-2024-story
%X Story building is an important part of language and overall development of a child. Developing an interactive and artificial intelligence (AI) based solution to create stories for children is an open and challenging problem. Methods combining large language models (LLMs) and knowledge graphs (KGs) have further enabled high quality and coherent story generation. In this work, we present a platform, Story Yarn, developed for interactive story creation for children. We customise a KG, using children stories, which captures relationships between components of stories. This customised KG is then used along with LLM to collaboratively create a story. We have also built a simple app to facilitate user interaction. This platform can aid the creative development of children, and can be used at home or in schools.
%U https://aclanthology.org/2024.icon-1.28/
%P 248-255

Markdown (Informal)

[Story-Yarn : An Interactive Story Building Application](https://aclanthology.org/2024.icon-1.28/) (Saraswat et al., ICON 2024)

• Story-Yarn : An Interactive Story Building Application (Saraswat et al., ICON 2024)

ACL

• Hryadyansh Saraswat, Snehal D. Shete, Vikas Dangi, Kushagra Agrawal, Anuj Aggarwal, and Aditya Nigam. 2024. Story-Yarn : An Interactive Story Building Application. In Proceedings of the 21st International Conference on Natural Language Processing (ICON), pages 248–255, AU-KBC Research Centre, Chennai, India. NLP Association of India (NLPAI).