Previously on the Stories: Recap Snippet Identification for Story Reading
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
"Previously on ..." From Recaps to Story Summarization
We introduce multimodal story summarization by leveraging TV episode recaps - short video sequences interweaving key story moments from previous episodes to bring viewers up to speed. We propose PlotSnap, a dataset featu…
Video SummarizationPreviously on ... From Recaps to Story Summarization
We introduce multimodal story summarization by leveraging TV episode recaps - short video sequences interweaving key story moments from previous episodes to bring viewers up to speed. We propose PlotSnap a dataset fe…
Video SummarizationTVStoryGen: A Dataset for Generating Stories with Character Descriptions
We introduce TVStoryGen, a story generation dataset that requires generating detailed TV show episode recaps from a brief summary and a set of documents describing the characters involved. Unlike other story generation d…
Abstractive Text SummarizationStory GenerationReal-time News Story Identification
To improve the reading experience, many news sites organize news into topical collections, called stories. In this work, we present an approach for implementing real-time story identification for a news monitoring system…
Text ClusteringStoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles
Visual storytelling models that correctly ground entities in images may still hallucinate semantic relationships, generating incorrect dialogue attribution, character interactions, or emotional states. We introduce Story…
Visual StorytellingVisual Grounding