Abstract
IDN authoring is a complex and creative endeavour. This paper provides the basis for a collaborative text-based authoring tool to support the work with figures of speech, such as metaphors, similes and metonymies. Several models have been tested and BERT, as best performing, has been used for creating functions to predict a figure of speech and, using an embedding of the custom database, return figures of speeches that are closest to the input, and generating new figures of speech. The implemented functions were validated using writers active in different fields.
All the code, the databases and the models can be found in this GitHub: link to GitHub.
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Akkerman, S., Nack, F. (2023). Figure of Speech Detection and Generation as a Service in IDN Authoring Support. In: Holloway-Attaway, L., Murray, J.T. (eds) Interactive Storytelling. ICIDS 2023. Lecture Notes in Computer Science, vol 14384. Springer, Cham. https://doi.org/10.1007/978-3-031-47658-7_8
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