The explosive growth and widespread accessibility of medical information on the Internet
have led to a surge of research activity in a wide range of scientific communities including …

Au carrefour de la linguistique descriptive, de la linguistique formelle, du Traitement
automatique des langues, de l'informatique formelle et de l'algorithmique de textes, cet …

Objectives: The paper (1) introduces health sciences librarians to the main concepts and
principles of the Semantic Web (SW) and (2) briefly reviews a number of projects on the …

Abstract Background Natural Language Processing (NLP) has been shown effective to
analyze the content of radiology reports and identify diagnosis or patient characteristics. We …

Quality annotated resources are essential for Natural Language Processing. The objective
of this work is to present a corpus of clinical narratives in French annotated for linguistic …

Introduction Concept normalization is the task of linking terms from textual medical
documents to their concept in terminologies such as the UMLS®. Traditional approaches to …

Virtual patient software allows health professionals to practise their skills by interacting with
tools simulating clinical scenarios. A natural language dialogue system can provide natural …

Background Medical lexicons enable the natural language processing (NLP) of health texts.
Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part …

Recognizing biomedical entities in the text has significance in biomedical and health
science research, as it benefits myriad downstream tasks, including entity linking, relation …

The way patients and their caregivers share information on various online platforms about
health topics and their own experiential knowledge presents new potential environments for …