Details
| Original language | English |
|---|---|
| Title of host publication | Advances in Information Retrieval |
| Subtitle of host publication | 46th European Conference on Information Retrieval, ECIR 2024 |
| Editors | Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 28-35 |
| Number of pages | 8 |
| ISBN (electronic) | 978-3-031-56072-9 |
| ISBN (print) | 9783031560712 |
| Publication status | Published - 20 Mar 2024 |
| Event | 46th European Conference on Information Retrieval, ECIR 2024 - Glasgow, United Kingdom (UK) Duration: 24 Mar 2024 → 28 Mar 2024 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 14613 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
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.
Keywords
- Information extraction, Information retrieval, Natural language processing, Scientific text simplification
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. ed. / Nazli Goharian; Nicola Tonellotto; Yulan He; Aldo Lipani; Graham McDonald; Craig Macdonald; Iadh Ounis. Springer Science and Business Media Deutschland GmbH, 2024. p. 28-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14613 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - CLEF 2024 SimpleText Track
AU - Ermakova, Liana
AU - SanJuan, Eric
AU - Huet, Stéphane
AU - Azarbonyad, Hosein
AU - Di Nunzio, Giorgio Maria
AU - Vezzani, Federica
AU - D’Souza, Jennifer
AU - Kabongo, Salomon
AU - Giglou, Hamed Babaei
AU - Zhang, Yue
AU - Auer, Sören
AU - Kamps, Jaap
N1 - Funding Information: We also thank the MaDICS (https://www.madics.fr/ateliers/simpletext/) research group and the French National Research Agency (project ANR-22-CE23-0019-01). SimpleText’s SOTA Task is jointly funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - project number: NFDI4DataScience (460234259) and the German BMBF project SCINEXT (01lS22070).
PY - 2024/3/20
Y1 - 2024/3/20
N2 - 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.
AB - 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.
KW - Information extraction
KW - Information retrieval
KW - Natural language processing
KW - Scientific text simplification
UR - http://www.scopus.com/inward/record.url?scp=85189304489&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-56072-9_4
DO - 10.1007/978-3-031-56072-9_4
M3 - Conference contribution
AN - SCOPUS:85189304489
SN - 9783031560712
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 28
EP - 35
BT - Advances in Information Retrieval
A2 - Goharian, Nazli
A2 - Tonellotto, Nicola
A2 - He, Yulan
A2 - Lipani, Aldo
A2 - McDonald, Graham
A2 - Macdonald, Craig
A2 - Ounis, Iadh
PB - Springer Science and Business Media Deutschland GmbH
T2 - 46th European Conference on Information Retrieval, ECIR 2024
Y2 - 24 March 2024 through 28 March 2024
ER -