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SemEval-2023 Task 12 :
SemEval-2023 Task 12 : Sentiment Analysis for African Languages (AfriSenti-SemEval)
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- Muhammad, Shamsuddeen Hassan (författare)
- Bayero University Kano
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- Abdulmumin, Idris (författare)
- Ahmadu Bello University
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- Yimam, Seid Muhie (författare)
- Hamburg University
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- Ifeoluwa Adelani, David (författare)
- Saarland University
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- Ahmad, Ibrahim Said (författare)
- Bayero University Kano
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- Ousidhoum, Nedjma (författare)
- Cardiff University
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- Ayele, Abinew Ali (författare)
- Hamburg University
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- Mohammad, Saif M. (författare)
- National Research Council Canada
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- Beloucif, Meriem (författare)
- Uppsala universitet,Institutionen för lingvistik och filologi,Computational Linguistics
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- Ruder, Sebastian (författare)
- Google
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(creator_code:org_t)
- Association for Computational Linguistics, 2023
- 2023
- Engelska.
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Ingår i: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). - : Association for Computational Linguistics. - 9781959429999 ; , s. 2319-2337
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- HUMANIORA -- Språk och litteratur -- Studier av enskilda språk (hsv//swe)
- HUMANITIES -- Languages and Literature -- Specific Languages (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Nyckelord
- Sentiment Analysis
- NLP
- Low Resource
- AfriSenti
- SemEval
- Datorlingvistik
- Computational Linguistics
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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