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.

CLEF 2024 SimpleText Track

Di Nunzio G. M.;Vezzani F.;
2024

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.
2024
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
46th European Conference on Information Retrieval, ECIR 2024
9783031560712
9783031560729
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3544463
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