Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
Domaine:
natural language processingType de record:
paper
Créateur:
AziAl-
Sho
ShoHôte:
AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual sentiment classification (sub-task A) for 12 African languages, multilingual sentiment classification (sub-task B), and zero-shot sentiment classification (task C). For sub-task A, we conducted experiments using classical machine learning classifiers, Afro-centric language models, and language-specific models. For task B, we fine-tuned multilingual pre-trained language models that support many of the languages in the task. For task C, we used we make use of a parameter-efficient Adapter approach that leverages monolingual texts in the target language for effective zero-shot transfer. Our findings suggest that using pre-trained Afro-centric language models improves performance for low-resource African languages. We also ran experiments using adapters for zero-shot tasks, and the results suggest that we can obtain promising results by using adapters with a limited amount of resources. SemEval 2023
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DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetTeam ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetSemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages Masakhane - Afrisenti في SemEval -2023 المهمة 12: تحليل المشاعر باستخدام نماذج ومحولات لغوية محورها الأفارقة للغات الأفريقية منخفضة الموارد Masakhane-Afrisenti à SemEval-2023 Tâche 12 : Analyse des sentiments à l'aide de modèles et d'adaptateurs de langues afrocentriques pour les langues africaines à faibles ressources Masakhane-Afrisenti en SemEval-2023 Tarea 12: Análisis de sentimientos utilizando modelos y adaptadores de lenguaje afrocéntricos para idiomas africanos de bajos recursosAFRISENTI-SEMEVAL SHARED TASK 12: SENTIMENT ANALYSIS FOR 15 LOW-RESOURCE AFRICAN LANGUAGES USING TWITTER DATASETTrinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter Dataset