1 citations · 1 across the 4 of their papers we have counts for
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LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking
Adam Remaki, Xavier Tannier, Christel Gérardin
Biomedical entity linking maps textual mentions to concepts in structured knowledge bases such as UMLS or SNOMED CT. Most existing systems link each mention independently, using on…
SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
Adam Remaki, Christel Gérardin, Eulàlia Farré-Maduell +2
We present SynCABEL (Synthetic Contextualized Augmentation for Biomedical Entity Linking), a framework that addresses a central bottleneck in supervised biomedical entity linking (…
Impact of translation on biomedical information extraction from real-life clinical notes
Christel Gérardin, Yuhan Xiong, Perceval Wajsbürt +2
The objective of our study is to determine whether using English tools to extract and normalize French medical concepts on translations provides comparable performance to French mo…
Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing
Christel Gérardin, Perceval Wajsbürt, Basile Dura +4
Objective:Develop and validate an algorithm for analyzing the layout of PDF clinical documents to improve the performance of downstream natural language processing tasks. Materials…