This paper presents SIBM's participation in the Multilingual Information Extraction task 2 of
the CLEF eHealth 2016 evaluation initiative which focuses on named entity recognition in …

Background A major factor in the success of any search engine is the relevance of the
search results; a tool should sort the search results to present the most relevant documents …

Extracting concepts from medical texts is a key to support many advanced applications in
medical information retrieval. Entity recognition in French texts is moreover challenged by …

Objective To explore the capabilities of ChatGPT for the purpose of simplifying and
translating radiology reports into Spanish, Hindi, and Russian languages, with comparisons …

In this paper, we report on our participation in the clinical named entity recognition task of
the CLEF eHealth 2015 evaluation initiative ie to fully automatically identify clinically …

Background Language is a barrier to implementing research evidence into practice. Whilst
the majority of the world's population speak languages other than English, English has …

Résumé Introduction Les publications scientifiques en français sont de plus en plus
éclipsées par les publications en langue anglaise, notamment dans les bases de données …

Non-English-language publication citations in PubMed® and their indexing in MEDLINE
have not been known for producing multilingual publication citations, and this is becoming …

Background MEDLINE is the most widely used medical bibliographic database in the world.
Most of its citations are in English and this can be an obstacle for some researchers to …

Littérature scientifique en santé (LiSSa): une base de données bibliographiques en français
Page 1 HAL Id: hal-02407591 https://hal.science/hal-02407591 Submitted on 12 Dec 2019 HAL …