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most citedFew-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2024

Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain

Benno Uthayasooriyar, Antoine Ly, Franck Vermet +1

Generic pre-trained neural networks may struggle to produce good results in specialized domains like finance and insurance. This is due to a domain mismatch between training data a…

cs.CL2024★ 1 cited

Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection

Ayoub Hammal, Benno Uthayasooriyar, Caio Corro

Named-entity recognition (NER) is a task that typically requires large annotated datasets, which limits its applicability across domains with varying entity definitions. This paper…