@ARTICLE{10.21494/ISTE.OP.2020.0464, TITLE={DataNews: contextualisation of quantified values in wires}, AUTHOR={ChloƩ Monnin, Olivier Hamon, Victor Schmitt, Brice Terdjman, }, JOURNAL={Information Retrieval, Document and Semantic Web}, VOLUME={3}, NUMBER={Issue 1}, YEAR={2020}, URL={https://openscience.fr/DataNews-contextualisation-of-quantified-values-in-wires}, DOI={10.21494/ISTE.OP.2020.0464}, ISSN={2516-3280}, ABSTRACT={The Open Data allows the access to plentiful data, with a large coverage, but none of them offers a structured databased around news. Through DataNews, our goal is to seek for data automatically so as to provide means to reuse them. To do so, we first defined an event typology in the specific context of death in AFP wires. Then, by restraining ourselves to the natural disasters, we clustered these wires by events so as to identify them. The goal of the last step is to build extraction patterns so as to collect values corresponding to the death number, as well as the context associated to these values. The results of our evaluations reassured ourselves in the large potential of our method that could lead to several applications.}}