Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

Few-shot fine-tuning and in-context learning are two alternative strategies for task
adaptation of pre-trained language models. Recently, in-context learning has gained …

Africa is home to over 2,000 languages from more than six language families and has the
highest linguistic diversity among all continents. These include 75 languages with at least …

We present the first Africentric SemEval Shared task, Sentiment Analysis for African
Languages (AfriSenti-SemEval)-The dataset is available at https://github. com/afrisenti …

The emergence of large language models (LLMs) has sparked considerable interest in their
potential application in psychological research, mainly as a model of the human psyche or …

Pretrained language models (PLMs) are today the primary model for natural language
processing. Despite their impressive downstream performance, it can be difficult to apply …

Recent breakthroughs in large language models (LLMs) have centered around a handful of
data-rich languages. What does it take to broaden access to breakthroughs beyond first …

This paper presents the Transplantation, Adaptation and Creation (TAC) framework, a
method for assessing the localization of different elements of an AI system. This framework is …

Despite the progress we have recorded in the last few years in multilingual natural language
processing, evaluation is typically limited to a small set of languages with available datasets …

African languages are spoken by over a billion people, but are underrepresented in NLP
research and development. The challenges impeding progress include the limited …