136 citations · 177 across the 3 of their papers we have counts for
3 papers
Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning
Sofia Oliveira, Daniel Loureiro, Alípio Jorge
The Natural Language Processing task of determining "Who did what to whom" is called Semantic Role Labeling. For English, recent methods based on Transformer models have allowed fo…
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
Raphaël Barman, Maud Ehrmann, Simon Clematide +2
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to aut…
dhSegment: A generic deep-learning approach for document segmentation
Sofia Ares Oliveira, Benoit Seguin, Frederic Kaplan
In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the di…