ACL2022
Entity-based Neural Local Coherence Modeling
Sungho Jeon, Michael Strube
Abstract
In this paper, we propose an entity-based neu-001 ral local coherence model which is linguis-002 tically more sound than previously proposed 003 neural coherence models. Recent neural co-004 herence models encode the input document 005 using large-scale pretrained language models.