CLEF 2024 SimpleText Track
- authored by
- Liana Ermakova, Eric SanJuan, Stéphane Huet, Hosein Azarbonyad, Giorgio Maria Di Nunzio, Federica Vezzani, Jennifer D’Souza, Salomon Kabongo, Hamed Babaei Giglou, Yue Zhang, Sören Auer, Jaap Kamps
- Abstract
Everyone agrees on the importance of objective scientific information. However, relevant scientific documents tend to be inherently difficult to find and understand either because of intricate terminology or the potential absence of prior knowledge among their readers. Can we improve accessibility for everyone? This paper introduces the SimpleText Track at CLEF 2024, addressing the technical and evaluation challenges associated with making scientific information accessible to a wide audience, including students and non-experts. We provide appropriate reusable data and benchmarks for scientific text summarization and simplification. The CLEF 2024 SimpleText track is based on four interrelated tasks: Task 1 Content Selection: Retrieving Passages to Include in a Simplified Summary. Task 2 Complexity Spotting: Identifying and Explaining Difficult Concepts. Task 3 Text Simplification: Simplify Scientific Text. Task 4 SOTA?: Tracking the State-of-the-Art in Scholarly Publications.
- Organisation(s)
-
L3S Research Centre
- External Organisation(s)
-
Universite de Bretagne Occidentale (UBO)
Universite d'Avignon et des Pays du Vaucluse
Elsevier B.V.
University of Padova
German National Library of Science and Technology (TIB)
Technische Universität Berlin
University of Amsterdam
- Type
- Conference contribution
- Pages
- 28-35
- No. of pages
- 8
- Publication date
- 20.03.2024
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Theoretical Computer Science, General Computer Science
- Electronic version(s)
-
https://doi.org/10.1007/978-3-031-56072-9_4 (Access:
Closed)