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Scarcity of resources such as annotated text corpora for under-resourcedlanguages like Albanian is a serious impediment in computational linguisticsand natural language processing research. This paper presents AlbNER, a corpusof 900 sentences with labeled named entities, collected from Albanian Wikipediaarticles. Preliminary results with BERT and RoBERTa variants fine-tuned andtested with AlbNER data indicate that model size has slight impact on NERperformance, whereas language transfer has a significant one. AlbNER corpus andthese obtained results should serve as baselines for future experiments.

AlbNER: A Corpus for Named Entity Recognition in Albanian