Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10903
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGalassi, A.-
dc.contributor.authorRuggeri, F.-
dc.contributor.authorBarrón-Cedeño, A.-
dc.contributor.authorAlam, F.-
dc.contributor.authorCaselli, T.-
dc.contributor.authorKutlu, M.-
dc.contributor.authorAntici F.-
dc.date.accessioned2023-12-23T06:07:21Z-
dc.date.available2023-12-23T06:07:21Z-
dc.date.issued2023-
dc.identifier.issn1613-0073-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10903-
dc.description24th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF-WN 2023 -- 18 September 2023 through 21 September 2023 -- 193170en_US
dc.description.abstractWe describe the outcome of the 2023 edition of the CheckThat!Lab at CLEF. We focus on subjectivity (Task 2), which has been proposed for the first time. It aims at fostering the technology for the identification of subjective text fragments in news articles. For that, we produced corpora consisting of 9,530 manually-annotated sentences, covering six languages —Arabic, Dutch, English, German, Italian, and Turkish. Task 2 attracted 12 teams, which submitted a total of 40 final runs covering all languages. The most successful approaches addressed the task using state-of-the-art multilingual transformer models, which were fine-tuned on language-specific data. Teams also experimented with a rich set of other neural architectures, including foundation models, zero-shot classifiers, and standard transformers, mainly coupled with data augmentation and multilingual training strategies to address class imbalance. We publicly release all the datasets and evaluation scripts, with the purpose of promoting further research on this topic. © 2023 Copyright for this paper by its authors.en_US
dc.description.sponsorshipPE00000013, PNRR-M4C2-Investimento 1.3; Qatar Foundation, QF; Qatar National Research Fund, QNRF; Bundesministerium für Bildung und Forschung, BMBF: 01FP20031J; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 120E514; Università di Bologna, UNIBO: 2021-15854, DOT1303118, NPRP 14C-0916-210015, NPRP13S-0206-200281en_US
dc.language.isoenen_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData augmentationen_US
dc.subjectFoundation modelsen_US
dc.subjectMultilingual trainingsen_US
dc.subjectNeural architecturesen_US
dc.subjectNews articlesen_US
dc.subjectState of the arten_US
dc.subjectText fragmentsen_US
dc.subjectTraining strategyen_US
dc.subjectTransformer modelingen_US
dc.subjectTurkishsen_US
dc.titleOverview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity in News Articles Notebook for the CheckThat! Lab at CLEF 2023en_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume3497en_US
dc.identifier.startpage236en_US
dc.identifier.endpage249en_US
dc.identifier.scopus2-s2.0-85175626781en_US
dc.institutionauthor-
dc.authorscopusid57196712506-
dc.authorscopusid57215861451-
dc.authorscopusid26321398000-
dc.authorscopusid56024506200-
dc.authorscopusid35932126700-
dc.authorscopusid35299304300-
dc.authorscopusid57566127900-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

6
checked on May 6, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.