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https://doi.org/10.21256/zhaw-29046| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging |
| Authors: | von Däniken, Pius Deriu, Jan Milan Cieliebak, Mark |
| et. al: | No |
| DOI: | 10.21256/zhaw-29046 |
| Proceedings: | Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023) |
| Editors of the parent work: | Aliannejadi, Mohammad Faggioli, Guglielmo Ferro, Nicola Vlachos, Michalis |
| Page(s): | 534 |
| Pages to: | 545 |
| Conference details: | 14th Conference and Labs of the Evaluation Forum (CLEF), Thessaloniki, Greece, 18-21 September 2023 |
| Issue Date: | 2023 |
| Series: | CEUR Workshop Proceedings |
| Series volume: | 3497 |
| Publisher / Ed. Institution: | CEUR Workshop Proceedings |
| ISSN: | 1613-0073 |
| Other identifiers: | urn:nbn:de:0074-3497-0 |
| Language: | English |
| Subjects: | Multi-modal; Claim check-worthiness; Multiple kernel learning; Fact checking |
| Subject (DDC): | 410.285: Computational linguistics |
| Abstract: | We describe our approaches to sub-task 1A on multi-modal check-worthiness classification of the CheckThat! Lab 2023 in English. The goal was to determine whether a tweet is worth fact-checking based on its text and image content. Our submission was based on a kernel ensemble of different uni-modal and multi-modal classifiers. It achieved second place out of 7 teams with an F1 score of 0.708. |
| URI: | https://ceur-ws.org/Vol-3497/paper-048.pdf https://digitalcollection.zhaw.ch/handle/11475/29046 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Centre for Artificial Intelligence (CAI) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_vonDaeniken-etal_ZHAW-CAI-at-CheckThat-2023.pdf | 578.67 kB | Adobe PDF |  View/Open |
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von Däniken, P., Deriu, J. M., & Cieliebak, M. (2023). ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging [Conference paper]. In M. Aliannejadi, G. Faggioli, N. Ferro, & M. Vlachos (Eds.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023) (pp. 534–545). CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-29046
von Däniken, P., Deriu, J.M. and Cieliebak, M. (2023) ‘ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging’, in M. Aliannejadi et al. (eds) Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023). CEUR Workshop Proceedings, pp. 534–545. Available at: https://doi.org/10.21256/zhaw-29046.
P. von Däniken, J. M. Deriu, and M. Cieliebak, “ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging,” in Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023, pp. 534–545. doi: 10.21256/zhaw-29046.
VON DÄNIKEN, Pius, Jan Milan DERIU und Mark CIELIEBAK, 2023. ZHAW-CAI at CheckThat! 2023 : ensembling using kernel averaging. In: Mohammad ALIANNEJADI, Guglielmo FAGGIOLI, Nicola FERRO und Michalis VLACHOS (Hrsg.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023) [online]. Conference paper. CEUR Workshop Proceedings. 2023. S. 534–545. Verfügbar unter: https://ceur-ws.org/Vol-3497/paper-048.pdf
von Däniken, Pius, Jan Milan Deriu, and Mark Cieliebak. 2023. “ZHAW-CAI at CheckThat! 2023 : Ensembling Using Kernel Averaging.” Conference paper. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), edited by Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos, 534–45. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-29046.
von Däniken, Pius, et al. “ZHAW-CAI at CheckThat! 2023 : Ensembling Using Kernel Averaging.” Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), edited by Mohammad Aliannejadi et al., CEUR Workshop Proceedings, 2023, pp. 534–45, https://doi.org/10.21256/zhaw-29046.
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