Natural Language Processing (NLP) research has traditionally been predominantly focused
on English, driven by the availability of resources, the size of the research community, and …

Objective This paper presents a multilingual news surveillance system applied to tele-
epidemiology. It has been shown that multilingual approaches improve timeliness in …

In this article, we tackle the problem of evaluation of Web Content Extraction tools. This task
is seldom studied in the literature although it has important consequences on the linguistic …

In this paper, we present a dataset and a baseline evaluation for multilingual epidemic event
extraction. We experiment with a multilingual news dataset which we annotate at the token …

Among all researches dedicating to terminology and word sense disambiguation, little
attention has been devoted to the ambiguity of term occurrences. If a lexical unit is indeed a …

In this paper, we focus on epidemic event extraction in multilingual and low-resource
settings. The task of extracting epidemic events is defined as the detection of disease names …

In the financial domain, information plays an utmost important role in making
investment/business decisions as good knowledge can lead to crafting correct approaches …

Abstract Disease-News Profiler aims to gather a collection of online news articles containing
information related to diseases. A need for such profiler arises in epidemic intelligence …

We demonstrate BioNex, a system to mine, rank and visualize biomedical news events.
BioNex takes biomedical queries such as" Ebola virus disease" and retrieves the k most …

Cette thèse explore la problématique du multilinguisme en recherche d'information. Nous
présentons une méthode de veille sur la presse adaptée au traitement du plus grand …