Textual information is constantly increasing. With this accumulation of documents, the
satisfaction of user needs becomes more and more complex. For that, several information …

Document indexing is considered as a crucial phase in the information retrieval field
because textual information is constantly increasing. With this accumulation of documents …

In this article, we propose a new approach for indexing biomedical documents based on a
possibilistic network that carries out partial matching between documents and biomedical …

This paper proposes a new approach for indexing biomedical documents based on the
combination of a Possibilistic Network and a Vector Space Model. This later carries out …

The document indexing is a fairly sensitive phase in the information retrieval. However,
terms presented in a document are not sufficient to completely represent it. Then, the …

We proposed in this paper a new approach for information retrieval intitled Conceptual
Information Retrieval Model (CIRM). Our contribution is to exploit possibilistic networks (PN) …

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 …

Nous proposons dans cet article une nouvelle approche d'indexation de documents
biomédicaux basée sur les réseaux possibilistes permettant de les apparier partiellement …

We proposed a new approach denoted SDIBN (Semantic Documents Indexing using
Bayesian Networks) for indexing biomedical documents with terminologies. The main …

Biomedical scientific literature is becoming a valuable information source that includes a
huge amount of novel research findings. Nevertheless, the unstructured nature of the …