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arxiv:2309.08741

AlbNER: A Corpus for Named Entity Recognition in Albanian

Published on Sep 15, 2023
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Abstract

AlbNER, a 900-sentence Albanian named-entity corpus, reveals that language transfer affects NER performance more than model size when fine-tuning BERT and RoBERTa variants.

Generated by thinkingmachines/Inkling-Small

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

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