Unsupervised Event Clustering and Aggregation from Newswire and Web Articles

International audienceIn this paper, we present an unsupervisedpipeline approach for clustering news articlesbased on identified event instances intheir content. We leverage press agencynewswire and monolingual word alignmenttechniques to build meaningful andlinguistically varied clusters of articlesfrom the Web in the perspective of abroader event type detection task. We validateour approach on a manually annotatedcorpus of Web articles