6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
Chen Tang, Chenghua Lin, Henglin Huang +2
One of the key challenges of automatic story generation is how to generate a long narrative that can maintain fluency, relevance, and coherence. Despite recent progress, current st…
cs.CL2022★ 6 cited
NGEP: A Graph-based Event Planning Framework for Story Generation
Chen Tang, Zhihao Zhang, Tyler Loakman +2
To improve the performance of long text generation, recent studies have leveraged automatically planned event structures (i.e. storylines) to guide story generation. Such prior wor…
cs.CL2022★ 1 cited
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Tomas Goldsack, Zhihao Zhang, Chenghua Lin +1
Lay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts. Automatic approaches for lay summarisation can pr…