Building and displaying name relations using automatic unsupervised analysis of newspaper articles

We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity Recognition tool, applied on clusters of an average of 15,000 news articles per day, in 15 different languages, we build a knowledge base that allows extracting statistical co-occurrences of persons and visualising them on a per-person page or in various graphs.

• Type: Journal
• Year: 2006
• Where: CORR
• Authors: Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, Tamara Oellinger
• Keywords: Associated People, CORR 2006, Education, Inter-person Relations, Named Entity Recognition