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NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
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: 0000-0002-0546-116x
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-5582-2031
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2023 (English)In: 17th International Workshop on Semantic Evaluation, SemEval 2023: Proceedings of the Workshop, Association for Computational Linguistics, 2023, p. 1421-1427Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Association for Computational Linguistics, 2023. p. 1421-1427
National Category
Language Technology (Computational Linguistics) Computer Sciences
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-101374DOI: 10.18653/v1/2023.semeval-1.196Scopus ID: 2-s2.0-85175399160OAI: oai:DiVA.org:ltu-101374DiVA, id: diva2:1798259
Conference
17th International Workshop on Semantic Evaluation, Toronto, Canada, July 13-14, 2023
Funder
Knut and Alice Wallenberg Foundation
Note

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

Available from: 2023-09-18 Created: 2023-09-18 Last updated: 2024-01-03Bibliographically approved

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Kovács, GyörgyAdewumi, TosinLiwicki, Marcus

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