CLEF 2024 SimpleText Track

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • 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

Organisationseinheiten

Externe Organisationen

  • Universität der Westbretagne (UBO)
  • Universite d'Avignon et des Pays du Vaucluse
  • Elsevier B.V.
  • Universität Padua
  • Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
  • Technische Universität Berlin
  • Universiteit van Amsterdam (UvA)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksAdvances in Information Retrieval
Untertitel46th European Conference on Information Retrieval, ECIR 2024
Herausgeber/-innenNazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten28-35
Seitenumfang8
ISBN (elektronisch)978-3-031-56072-9
ISBN (Print)9783031560712
PublikationsstatusVeröffentlicht - 20 März 2024
Veranstaltung46th European Conference on Information Retrieval, ECIR 2024 - Glasgow, Großbritannien / Vereinigtes Königreich
Dauer: 24 März 202428 März 2024

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band14613 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)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.

ASJC Scopus Sachgebiete

Zitieren

CLEF 2024 SimpleText Track. / Ermakova, Liana; SanJuan, Eric; Huet, Stéphane et al.
Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. Hrsg. / Nazli Goharian; Nicola Tonellotto; Yulan He; Aldo Lipani; Graham McDonald; Craig Macdonald; Iadh Ounis. Springer Science and Business Media Deutschland GmbH, 2024. S. 28-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14613 LNCS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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 (Hrsg.), 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), Bd. 14613 LNCS, Springer Science and Business Media Deutschland GmbH, S. 28-35, 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, Großbritannien / Vereinigtes Königreich, 24 März 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 (Hrsg.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024 (S. 28-35). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 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, Hrsg., Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024. Springer Science and Business Media Deutschland GmbH. 2024. S. 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. Hrsg. / Nazli Goharian ; Nicola Tonellotto ; Yulan He ; Aldo Lipani ; Graham McDonald ; Craig Macdonald ; Iadh Ounis. Springer Science and Business Media Deutschland GmbH, 2024. S. 28-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
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title = "CLEF 2024 SimpleText Track",
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.",
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author = "Liana Ermakova and Eric SanJuan and St{\'e}phane Huet and Hosein Azarbonyad and {Di Nunzio}, {Giorgio Maria} and Federica Vezzani and Jennifer D{\textquoteright}Souza and Salomon Kabongo and Giglou, {Hamed Babaei} and Yue Zhang and S{\"o}ren Auer and Jaap Kamps",
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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booktitle = "Advances in Information Retrieval",
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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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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 -

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