10 citations · 26 across the 16 of their papers we have counts for
4 papers · 1 filter
Movie Summarization via Sparse Graph Construction
Pinelopi Papalampidi, Frank Keller, Mirella Lapata
We summarize full-length movies by creating shorter videos containing their most informative scenes. We explore the hypothesis that a summary can be created by assembling scenes wh…
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
Bowen Li, Taeuk Kim, Reinald Kim Amplayo +1
Transformer-based pre-trained language models (PLMs) have dramatically improved the state of the art in NLP across many tasks. This has led to substantial interest in analyzing the…
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…
Screenplay Summarization Using Latent Narrative Structure
Pinelopi Papalampidi, Frank Keller, Lea Frermann +1
Most general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront. As a result, such models are biase…