Evaluation of information retrieval and text mining tools on automatic named entity extraction

  • Authors:

  • Nishant Kumar;Jan De Beer;Jan Vanthienen;Marie-Francine Moens

  • Affiliations:

  • Research Center for Management Informatics, Katholieke Universiteit Leuven, Belgium;Legal Informatics and Information Retrieval group, Katholieke Universiteit Leuven, Belgium;Research Center for Management Informatics, Katholieke Universiteit Leuven, Belgium;Legal Informatics and Information Retrieval group, Katholieke Universiteit Leuven, Belgium

  • Venue:
  • ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
  • Year:
  • 2006

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Abstract

We will report evaluation of Automatic Named Entity Extraction feature of IR tools on Dutch, French, and English text. The aim is to analyze the competency of off-the-shelf information extraction tools in recognizing entity types including person, organization, location, vehicle, time, & currency from unstructured text. Within such an evaluation one can compare the effectiveness of different approaches for identifying named entities.