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SemEval-2023 Task 12 :
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Muhammad, Shamsuddeen HassanBayero University Kano
(author)
SemEval-2023 Task 12 : Sentiment Analysis for African Languages (AfriSenti-SemEval)
- Article/chapterEnglish2023
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Association for Computational Linguistics,2023
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LIBRIS-ID:oai:DiVA.org:uu-518296
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-518296URI
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https://doi.org/10.18653/v1/2023.semeval-1.315DOI
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Language:English
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Summary in:English
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We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeval/afrisent-semeval-2023. AfriSenti-SemEval is a sentiment classification challenge in 14 African languages: Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Twi, Xitsonga, and Yorb (Muhammad et al., 2023), using data labeled with 3 sentiment classes. We present three subtasks: (1) Task A: monolingual classification, which received 44 submissions; (2) Task B: multilingual classification, which received 32 submissions; and (3) Task C: zero-shot classification, which received 34 submissions. The best performance for tasks A and B was achieved by NLNDE team with 71.31 and 75.06 weighted F1, respectively. UCAS-IIE-NLP achieved the best average score for task C with 58.15 weighted F1. We describe the various approaches adopted by the top 10 systems and their approaches.
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Abdulmumin, IdrisAhmadu Bello University
(author)
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Yimam, Seid MuhieHamburg University
(author)
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Ifeoluwa Adelani, DavidSaarland University
(author)
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Ahmad, Ibrahim SaidBayero University Kano
(author)
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Ousidhoum, NedjmaCardiff University
(author)
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Ayele, Abinew AliHamburg University
(author)
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Mohammad, Saif M.National Research Council Canada
(author)
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Beloucif, MeriemUppsala universitet,Institutionen för lingvistik och filologi,Computational Linguistics(Swepub:uu)merbe236
(author)
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Ruder, SebastianGoogle
(author)
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Bayero University KanoAhmadu Bello University
(creator_code:org_t)
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In:Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023): Association for Computational Linguistics, s. 2319-23379781959429999
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