2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2021
A Temporal Variational Model for Story Generation
David Wilmot, Frank Keller
Recent language models can generate interesting and grammatically correct text in story generation but often lack plot development and long-term coherence. This paper experiments w…
cs.CL2021
Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories
David Wilmot, Frank Keller
Measuring event salience is essential in the understanding of stories. This paper takes a recent unsupervised method for salience detection derived from Barthes Cardinal Functions…
cs.CL2020★ 2 cited
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation
David Wilmot, Frank Keller
Suspense is a crucial ingredient of narrative fiction, engaging readers and making stories compelling. While there is a vast theoretical literature on suspense, it is computational…