20 citations · 21 across the 4 of their papers we have counts for
3 papers · 1 filter
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures
Benno Uthayasooriyar, Antoine Ly, Franck Vermet +1
We introduce DocPolarBERT, a layout-aware BERT model for document understanding that eliminates the need for absolute 2D positional embeddings. We extend self-attention to take int…
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…
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…