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A Meta-Information Extractor for Interrogative Sentences

  • Cleyton SouzaEmail author
  • Joaquim Maia
  • Luiz Silva
  • Jonathas Magalhães
  • Heitor Barros
  • Evandro Costa
  • Joseana Fechine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9155)

Abstract

The development of tools for Information Retrieval Systems or Expertise Finding Systems has a common task: the understanding of the information need. Since the information need is usually expressed through natural language, the computational processing of the information need involves several NLP techniques. Fortunately, there is a vast set of tools for English, but others languages have been marginalized. Thus, in this paper, we present a Web Service that offers to clients NLP treatment for interrogative sentences written in Brazilian Portuguese. The Web Service receives the question as input e returns its meta-information. The main differential of our proposal is that we offer a full analysis of the question text using a single function. We evaluate a feature of the Web Service named Category labeler, responsible for automatic discover the subject of the question, and we found that it has a true positive rate higher than 50% (\(\alpha \)=10%).

Keywords

Natural Language Processing Brazilian portuguese NLP Web services 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Cleyton Souza
    • 1
    Email author
  • Joaquim Maia
    • 1
  • Luiz Silva
    • 1
  • Jonathas Magalhães
    • 2
  • Heitor Barros
    • 2
  • Evandro Costa
    • 3
  • Joseana Fechine
    • 2
  1. 1.Federal Institute of Education, Science and Technology of Paraíba - IFPBMonteiroBrazil
  2. 2.Federal University of Campina Grande - UFCGCampina GrandeBrazil
  3. 3.Federal University of Alagoas - UFALMaceióBrazil

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