  Similar to the "previously-on" scenes in TV shows, recaps can help book
reading by recalling the readers' memory about the important elements in
previous texts to better understand the ongoing plot. Despite its usefulness,
this application has not been well studied in the NLP community. We propose the
first benchmark on this useful task called Recap Snippet Identification with a
hand-crafted evaluation dataset. Our experiments show that the proposed task is
challenging to PLMs, LLMs, and proposed methods as the task requires a deep
understanding of the plot correlation between snippets.
