Chercheur·e du réseau


Faculté des sciences
Marie-Jean Meurs
Professeur·e
Université du Québec à Montréal (UQÀM)
Faculté des sciences
Département d'informatique
Intérêts de recherche
  • Intelligence artificielle
  • Apprentissage automatique
  • Données massives
  • Fouille de données structurées
  • Traitement Automatique du Langage Naturel
Informations générales
Numéro de téléphone : 
(514) 987-3000 x6139
Numéro de local : 
PK-4935
Principales réalisations
2016 - Mining Biomedical Literature: An Open Source and Modular Approach

Abstract. This paper presents the ongoing development of a full-text natural language search engine for biomedical literature. The system aims to provide search on the full-text content of documents belonging to a database composed of scientific articles, while allowing users to submit their search queries using natural language. Beyond the text content of articles, the system engine also utilizes article metadata, empowering the search by considering extra information from picture and table captions. User queries can be submitted to the system in natural language, releasing the user from the burden of translating their search needs into a query language.

Keywords: Natural language processing · Information retrieval · Fulltext search · Document index · Natural language query · Search engine · Biomedical literature

 

Affiliations