Abstract
We present Creative Help, an application that helps writers by generating suggestions for the next sentence in a story as it being written. Users can modify or delete suggestions according to their own vision of the unfolding narrative. The application tracks users’ changes to suggestions in order to measure their perceived helpfulness to the story, with fewer edits indicating more helpful suggestions. We demonstrate how the edit distance between a suggestion and its resulting modification can be used to comparatively evaluate different models for generating suggestions. We describe a generation model that uses case-based reasoning to find relevant suggestions from a large corpus of stories. The application shows that this model generates suggestions that are more helpful than randomly selected suggestions at a level of marginal statistical significance. By giving users control over the generated content, Creative Help provides a new opportunity in open-domain interactive storytelling.
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The projects or efforts depicted were or are sponsored by the U. S. Army. The content or information presented does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
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Roemmele, M., Gordon, A.S. (2015). Creative Help: A Story Writing Assistant. In: Schoenau-Fog, H., Bruni, L., Louchart, S., Baceviciute, S. (eds) Interactive Storytelling. ICIDS 2015. Lecture Notes in Computer Science(), vol 9445. Springer, Cham. https://doi.org/10.1007/978-3-319-27036-4_8
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DOI: https://doi.org/10.1007/978-3-319-27036-4_8
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