Building and displaying name relations using automatic unsupervised analysis of newspaper articles
<|reference_start|>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.<|reference_end|>
@article{pouliquen2006building,
    title={Building and displaying name relations using automatic unsupervised
  analysis of newspaper articles},
    author={Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, Tamara Oellinger
  (European Commission - Joint Research Centre)},
    journal={Proceedings of the 8th International Conference on the Statistical
  Analysis of Textual Data (JADT-2006). Besancon, 19-21 April 2006},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0609066},
    primaryClass={cs.CL cs.IR}
}