CLEF 2024 SimpleText Track

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • 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

Research Organisations

External Research Organisations

  • 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
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Details

Original languageEnglish
Title of host publicationAdvances in Information Retrieval
Subtitle of host publication46th European Conference on Information Retrieval, ECIR 2024
EditorsNazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages28-35
Number of pages8
ISBN (electronic)978-3-031-56072-9
ISBN (print)9783031560712
Publication statusPublished - 20 Mar 2024
Event46th European Conference on Information Retrieval, ECIR 2024 - Glasgow, United Kingdom (UK)
Duration: 24 Mar 202428 Mar 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14613 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

Cite this

CLEF 2024 SimpleText Track. / Ermakova, Liana; SanJuan, Eric; Huet, Stéphane et al.
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 proceedingConference contributionResearchpeer review

Ermakova, L, SanJuan, E, Huet, S, Azarbonyad, H, Di Nunzio, GM, Vezzani, F, D’Souza, J, Kabongo, S, Giglou, HB, Zhang, Y, Auer, S & Kamps, J 2024, CLEF 2024 SimpleText Track. in N Goharian, N Tonellotto, Y He, A Lipani, G McDonald, C Macdonald & I Ounis (eds), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14613 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 28-35, 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom (UK), 24 Mar 2024. https://doi.org/10.1007/978-3-031-56072-9_4
Ermakova, L., SanJuan, E., Huet, S., Azarbonyad, H., Di Nunzio, G. M., Vezzani, F., D’Souza, J., Kabongo, S., Giglou, H. B., Zhang, Y., Auer, S., & Kamps, J. (2024). CLEF 2024 SimpleText Track. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024 (pp. 28-35). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14613 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-56072-9_4
Ermakova L, SanJuan E, Huet S, Azarbonyad H, Di Nunzio GM, Vezzani F et al. CLEF 2024 SimpleText Track. In Goharian N, Tonellotto N, He Y, Lipani A, McDonald G, Macdonald C, Ounis I, editors, Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. 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)). doi: 10.1007/978-3-031-56072-9_4
Ermakova, Liana ; SanJuan, Eric ; Huet, Stéphane et al. / CLEF 2024 SimpleText Track. Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. editor / Nazli Goharian ; Nicola Tonellotto ; Yulan He ; Aldo Lipani ; Graham McDonald ; Craig Macdonald ; Iadh Ounis. Springer Science and Business Media Deutschland GmbH, 2024. pp. 28-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
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note = "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{\textquoteright}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). ; 46th European Conference on Information Retrieval, ECIR 2024 ; Conference date: 24-03-2024 Through 28-03-2024",
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Download

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

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DO - 10.1007/978-3-031-56072-9_4

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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 -

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