Information Finding with Robust Entity Detection: The Case of an Online News Reader

  • Francisco Iacobelli
  • Nathan Nichols
  • Larry Birnbaum
  • Kristian Hammond
Part of the Studies in Computational Intelligence book series (SCI, volume 396)


Journalists and editors work under tight deadlines and are forced to gather as much background and details as they can about a particular situation or event. They have to keep track of useful sources and they have to be able to record what aspects and what portions of the source provided useful information.


News Story Name Entity Recognition Entity Recognition North Atlantic Treaty Organization Precision Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Francisco Iacobelli
    • 1
  • Nathan Nichols
    • 2
  • Larry Birnbaum
    • 1
  • Kristian Hammond
    • 1
  1. 1.Northwestern UniversityEvanstonU.S.A
  2. 2.Narrative ScienceEvanstonU.S.A

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