FaNS: a Facet-based Narrative Similarity Metric

arXiv:2309.04823v2 Announce Type: replace
Abstract: Similar Narrative Retrieval is a crucial task since narratives are essential for explaining and understanding events, and multiple related narratives often help to create a holistic view of the event of interest. To accurately identify semantically similar narratives, this paper proposes a novel narrative similarity metric called Facet-based Narrative Similarity (FaNS), based on the classic 5W1H facets (Who, What, When, Where, Why, and How), which are extracted by leveraging the state-of-the-art Large Language Models (LLMs). …

abstract arxiv cs.cl event events facet fans identify multiple narrative novel paper retrieval type understanding view