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Ralf Steinberger is a senior scientist at the 'Joint Research Centre' (JRC) of the European Commission in Ispra, Italy. He is a computational linguist with specialisation in multilingual and cross-lingual text analysis applications. He contributes to the development of the 'Europe Media Monitor' (EMM) family of news analysis applications. Ralf received his Ph.D. in 1994 in the field of Computational Linguistics from the University of Manchester (UMIST) in England. Before joining the JRC in 1998, he worked at the Sharp Laboratories of Europe in Oxford (UK), at the Kyushu Institute of Technology in Japan and at the Institute for Applied Information Science IAI in SaarbrĂĽcken (Germany). Ralf has co-authored over 100 international peer-reviewed scientific publications.

Presentation title: 
Automated Multilingual Text Analysis in the Europe Media Monitor
Presentation description: 
The European Commission’s 'Joint Research Centre' (JRC) has developed the family of 'Europe Media Monitor' (EMM) applications that help information-seeking users find and analyse live information in their field of interest. By automatically pre-processing the textual input, EMM supports the users in their intellectual analysis of large amounts of textual data: EMM gathers and automatically analyses a daily average of 220,000 online news articles in seventy languages, plus selected social media posts; EMM groups articles on the same events; For each article, it recognises and disambiguates names of persons, organisations and locations; It recognises quotations by and about people; EMM offers automatic translations into English; And it hyperlinks related articles in other languages. An important feature for the human analyst are trend visualisations that guide the analysis and highlight peaks and exceptional trends: How certain news stories have developed over time; Which news categories are most active at the moment; What combinations of country and threat currently have the highest alert levels world-wide. EMM was developed for the EU institutions and for national authorities of all EU Member States, but it is also used by international organisations (e.g. United Nations sub-organisations) and by EU partner countries around the world. The public can access EMM freely via web interfaces and mobile Apps. EMM uses over 1000 categories from a wide range of subjects, with a focus on Global Security and Crisis Management. The speaker will present EMM functionality and give an insight into how the output is used in real-life scenarios. He will give concrete examples of news content complementarity across languages (national bias).