NERosetta for the Named Entity Multi-lingual Space

  • Cvetana KrstevEmail author
  • Anđelka Zečević
  • Duško Vitas
  • Tita Kyriacopoulou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9561)


Named Entity Recognition has been a hot topic in Natural Language Processing for more than fifteen years. A number of systems for various languages have been developed using different approaches and based on different named entity schemes and tagging strategies. We present the NERosetta web application that can be used for comparison of these various approaches applied to aligned texts (bitexts). In order to illustrate its functionalities, we have used one literary text, its 7 bitexts involving 5 languages and 5 different NER systems. We present some preliminary results and give guidelines for further development.


Aligned texts Named-Entity Recognition Named-entity scheme META-NET 



This research was conducted through the project 178006 financed by the Serbian Ministry of Education, Science and Technological Development.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Cvetana Krstev
    • 1
    Email author
  • Anđelka Zečević
    • 2
  • Duško Vitas
    • 2
  • Tita Kyriacopoulou
    • 3
  1. 1.Faculty of PhilologyUniversity of BelgradeBelgradeSerbia
  2. 2.Faculty of MathematicsUniversity of BelgradeBelgradeSerbia
  3. 3.Laboratoire d’informatique Gaspard-MongeUniversité Paris-EstMarne-la-ValléFrance

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