Together with Giuseppe Rizzo and Raphaël Troncy from EURECOM, NewsReader team member Marieke van Erp participated in the MSM2013 Concept Extraction Challenge with a system called NERD-ML. This system was developed  to identify and classify named entities in microposts (Tweets). Their system ranked 2nd in the challenge, only 0.01 points in F-score behind the best system. NERD-ML is built on top of the NERD framework developed at EURECOM that makes it possible to easily query different named entity extractors that are available on the web. With NERD-ML, this framework…