Jan. 31, 2024, 4:41 p.m. | Andrew Piper, Haiqi Zhou

cs.CL updates on arXiv.org arxiv.org

In this paper, we present a variety of classification experiments related to
the task of fictional discourse detection. We utilize a diverse array of
datasets, including contemporary professionally published fiction, historical
fiction from the Hathi Trust, fanfiction, stories from Reddit, folk tales,
GPT-generated stories, and anglophone world literature. Additionally, we
introduce a new feature set of word "supersenses" that facilitate the goal of
semantic generalization. The detection of fictional discourse can help enrich
our knowledge of large cultural heritage archives …

array arxiv classification cs.cl datasets detection discourse diverse fanfiction fiction generated gpt literature paper reddit stories trust understanding world

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