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Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
Queen Mary University of London, London, United Kingdom.
King’s College London, London, United Kingdom.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-7924-4953
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0003-4029-6574
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2023 (English)In: 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop / [ed] Atul Kr. Ojha; A. Seza Dogruoz; Giovanni Da San Martino; Harish Tayyar Madabushi; Ritesh Kumar; Elisa Sartori, Association for Computational Linguistics , 2023, p. 1329-1334Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Association for Computational Linguistics , 2023. p. 1329-1334
National Category
Computer Sciences
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-103558DOI: 10.18653/v1/2023.semeval-1.185Scopus ID: 2-s2.0-85160934844OAI: oai:DiVA.org:ltu-103558DiVA, id: diva2:1826389
Conference
17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023,Hybrid, Toronto,Canada,July 13-14,2023
Note

Funder: UK EPSRC (EP/S022325/1 IGGI, EP/S033564/1 Sodestream, EP/W032473/1 AP4L, EP/V011189/1 REPHRAIN, EP/W001632/1 ARCIDUCA); Slovenian Research Agency (J5-3102, P2-0103);

ISBN for host publication: 978-1-959429-99-9

Available from: 2024-01-11 Created: 2024-01-11 Last updated: 2024-01-11Bibliographically approved

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Al-Azzawi, Sana SabahLiwicki, Marcus

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