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Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions
Feb. 22, 2024, 5:42 a.m. | Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou
cs.LG updates on arXiv.org arxiv.org
Abstract: This work introduces a novel and practical paradigm for narrative comprehension, stemming from the observation that individual passages within narratives are often cohesively related than being isolated. We therefore propose to formulate a graph upon narratives dubbed NARCO that depicts a task-agnostic coherence dependency of the entire context. Especially, edges in NARCO encompass retrospective free-form questions between two context snippets reflecting high-level coherent relations, inspired by the cognitive perception of humans who constantly reinstate relevant …
abstract arxiv context cs.cl cs.lg graph graph representation narrative novel observation paradigm practical questions representation retrospective stemming type via work
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