An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains
Arthur Elwing Torres,
Edleno Silva de Moura,
Altigran Soares da Silva
et al.
Abstract:Named Entity Recognition (NER) is a machine learning task that traditionally relies on supervised learning and annotated data. Acquiring such data is often a challenge, particularly in specialized fields like medical, legal, and financial sectors. Those are commonly referred to as low-resource domains, which comprise long-tail entities, due to the scarcity of available data. To address this, data augmentation techniques are increasingly being employed to generate additional training instances from the original… Show more
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