Published June 30, 2023 | Version v1
Conference paper Open

Using text summarization models to improve digital reading of scientific papers

  • 1. University of Salamanca, Spain
  • 2. Sorbonne Université, France
  • 3. La fabrique numérique, France
  • 1. University of Graz
  • 2. Belgrade Center for Digital Humanities
  • 3. Le Mans Université
  • 4. Digital Humanities im deutschsprachigen Raum

Description

This paper presents an evaluation and comparison of three state-of-the-art models for text summarization, and proposes a new digital reading interface designed for neophyte users to exploit these models, as well as automatic keyword extraction, with little or no programming experience.

Files

ALRAHABI_Motasem_Using_text_summarization_models_to_improve_.pdf

Additional details

Related works

Is part of
Book: 10.5281/zenodo.7961822 (DOI)
Is supplemented by
Poster: 10.5281/zenodo.8228563 (DOI)