• DocumentCode
    152814
  • Title

    Rule-based focus extraction in Turkish question answering systems

  • Author

    Derici, Caner ; Celik, Koray ; Ozgur, Ayfer ; Gungor, Tunga ; Kutbay, Ekrem ; Aydin, Yigit ; Kartal, Gunizi

  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1604
  • Lastpage
    1607
  • Abstract
    This study describes a rule-based approach that is employed in the question analysis module of the Turkish question answering system we design for high-school students to assist their education. The technique is used to extract parts of the question (the focus) that indicate the type and the character of the answer. Evaluation is performed on a set of geography question data that are collected and annontated by human experts, and the results are provided. Manually tailored rules are based on general Turkish question patterns, thereby not dependent on the domain. Therefore, this technique can be used by any Turkish question answering system, regardless of the domain. Both the source codes and the annontated data set are electronically provided for both reproducability and future work.
  • Keywords
    data analysis; question answering (information retrieval); source code (software); Turkish question answering systems; annontated data set; general Turkish question patterns; geography question data; high-school students; human experts; question analysis module; rule-based focus extraction; source codes; Art; Computer applications; Conferences; Education; Hidden Markov models; Knowledge discovery; Signal processing; focus; question analysis; question answering systems; rule-based information extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830551
  • Filename
    6830551