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- Université de Bretagne OccidentaleFR57 papers
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4 papers · 1 filter
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…
WikiNER-fr-gold: A Gold-Standard NER Corpus
Danrun Cao, Nicolas Béchet, Pierre-François Marteau
We address in this article the the quality of the WikiNER corpus, a multilingual Named Entity Recognition corpus, and provide a consolidated version of it. The annotation of WikiNE…
Age Recommendation from Texts and Sentences for Children
Rashedur Rahman, Gwénolé Lecorvé, Nicolas Béchet
Children have less text understanding capability than adults. Moreover, this capability differs among the children of different ages. Hence, automatically predicting a recommended…