Natural language processing for rapid information

  • Authors:

  • Maria Moise;Ciprian Gheorghe;Marilena Zingale

  • Affiliations:

  • Romanian American University, Bucharest, Romania;Romanian American University, Bucharest, Romania;-

  • Venue:
  • ECC'10 Proceedings of the 4th conference on European computing conference
  • Year:
  • 2010

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Abstract

This paper describes a way to use Natural Language Processing (NLP) techniques in order to gain faster access to information from a closed domain. Using traditional graphical user interfaces built as a tree structure, such as menus, determine users to browse irrelevant information. To avoid this, we use one of the major tasks in NLI, Question Answering (QA) and build with Visual FoxPro 9.0 a demonstrating application in the domain of touristy attractions in Romania.