EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs

arXiv:2404.00209v1 Announce Type: new
Abstract: Narrative reasoning relies on the understanding of eventualities in story contexts, which requires a wealth of background world knowledge. To help machines leverage such knowledge, existing solutions can be categorized into two groups. Some focus on implicitly modeling eventuality knowledge by pretraining language models (LMs) with eventuality-aware objectives. However, this approach breaks down knowledge structures and lacks interpretability. Others explicitly collect world knowledge of eventualities into structured eventuality-centric knowledge graphs (KGs). However, existing research on …

abstract arxiv cs.cl focus graphs knowledge knowledge graphs language language models lms machines modeling narrative pretraining reasoning solutions story type understanding wealth world