Published June 30, 2023
| Version v1
Poster
Open
Using text summarization models to improve digital reading of scientific papers
Authors/Creators
- 1. University of Salamanca, Spain
- 2. Sorbonne Université, France
- 3. La fabrique numérique, France
Contributors
Data manager (3):
Hosting institution:
- 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_Summarizer-Mastrobattista.pdf
Files
(210.9 kB)
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Additional details
Related works
- Is supplement to
- Conference paper: 10.5281/zenodo.8107402 (DOI)