20 citations · 21 across the 4 of their papers we have counts for
4 papers
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…
A survey on natural language processing (nlp) and applications in insurance
Antoine Ly, Benno Uthayasooriyar, Tingting Wang
Text is the most widely used means of communication today. This data is abundant but nevertheless complex to exploit within algorithms. For years, scientists have been trying to im…