output
19962025
most citedPrompt engineering paradigms for medical applications: scoping review and recommendations for better practices

131 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CL2024★ 131 cited

Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

Jamil Zaghir, Marco Naguib, Mina Bjelogrlic +3

Prompt engineering is crucial for harnessing the potential of large language models (LLMs), especially in the medical domain where specialized terminology and phrasing is used. How…

cs.CL2024

A Benchmark Evaluation of Clinical Named Entity Recognition in French

Nesrine Bannour, Christophe Servan, Aurélie Névéol +1

Background: Transformer-based language models have shown strong performance on many Natural LanguageProcessing (NLP) tasks. Masked Language Models (MLMs) attract sustained interest…

cs.CL2019★ 37 cited

Terminologies augmented recurrent neural network model for clinical named entity recognition

Ivan Lerner, Nicolas Paris, Xavier Tannier

We aimed to enhance the performance of a supervised model for clinical named-entity recognition (NER) using medical terminologies. In order to evaluate our system in French, we bui…

cs.CL2019★ 1 cited

Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata

Charlotte Rudnik, Thibault Ehrhart, Olivier Ferret +3

News agencies produce thousands of multimedia stories describing events happening in the world that are either scheduled such as sports competitions, political summits and election…

cs.CL2014

Using graph transformation algorithms to generate natural language equivalents of icons expressing medical concepts

Pascal Vaillant, Jean-Baptiste Lamy

A graphical language addresses the need to communicate medical information in a synthetic way. Medical concepts are expressed by icons conveying fast visual information about patie…