Building and displaying name relations using automatic unsupervised analysis of newspaper articles
Computation and Language
2007-05-23 v1 Information Retrieval
Abstract
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.
Cite
@article{arxiv.cs/0609066,
title = {Building and displaying name relations using automatic unsupervised analysis of newspaper articles},
author = {Bruno Pouliquen and Ralf Steinberger and Camelia Ignat and Tamara Oellinger},
journal= {arXiv preprint arXiv:cs/0609066},
year = {2007}
}
Comments
Builds upon the recognition of person names described in paper cs.CL/0609051. Resulting person relations can be explored in the multilingual online application NewsExplorer at http://press.jrc.it/NewsExplorer . 12 pages