Search Results for author: Pinelopi Papalampidi

Found 8 papers, 3 papers with code

Hierarchical3D Adapters for Long Video-to-text Summarization

no code implementations10 Oct 2022 Pinelopi Papalampidi, Mirella Lapata

In this paper, we focus on video-to-text summarization and investigate how to best utilize multimodal information for summarizing long inputs (e. g., an hour-long TV show) into long outputs (e. g., a multi-sentence summary).

Text Summarization

Towards Coherent and Consistent Use of Entities in Narrative Generation

no code implementations3 Feb 2022 Pinelopi Papalampidi, Kris Cao, Tomas Kocisky

Large pre-trained language models (LMs) have demonstrated impressive capabilities in generating long, fluent text; however, there is little to no analysis on their ability to maintain entity coherence and consistency.

Film Trailer Generation via Task Decomposition

no code implementations16 Nov 2021 Pinelopi Papalampidi, Frank Keller, Mirella Lapata

Movie trailers perform multiple functions: they introduce viewers to the story, convey the mood and artistic style of the film, and encourage audiences to see the movie.

Movie Summarization via Sparse Graph Construction

1 code implementation14 Dec 2020 Pinelopi Papalampidi, Frank Keller, Mirella Lapata

We summarize full-length movies by creating shorter videos containing their most informative scenes.

graph construction Turning Point Identification +1

Screenplay Summarization Using Latent Narrative Structure

2 code implementations ACL 2020 Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata

Most general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront.

Document Summarization Extractive Summarization +2

Movie Plot Analysis via Turning Point Identification

no code implementations IJCNLP 2019 Pinelopi Papalampidi, Frank Keller, Mirella Lapata

According to screenwriting theory, turning points (e. g., change of plans, major setback, climax) are crucial narrative moments within a screenplay: they define the plot structure, determine its progression and segment the screenplay into thematic units (e. g., setup, complications, aftermath).

Turning Point Identification

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