Trigger Warnings: Bootstrapping a Violence Detector for FanFiction. (arXiv:2209.04409v1 [cs.CL])

We present the first dataset and evaluation results on a newly defined
computational task of trigger warning assignment. Labeled corpus data has been
compiled from narrative works hosted on Archive of Our Own (AO3), a well-known
fanfiction site. In this paper, we focus on the most frequently assigned
trigger type--violence--and define a document-level binary classification task
of whether or not to assign a violence trigger warning to a fanfiction,
exploiting warning labels provided by AO3 authors. SVM and BERT models …

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