• DocumentCode
    3725030
  • Title

    Indonesian medical sentence transformation for question generation

  • Author

    Wiwin Suwarningsih;Iping Supriana;Ayu Purwarianti

  • Author_Institution
    School of Electronic Engineering and Informatics, Institut Teknologi Bandung, Indonesia
  • fYear
    2015
  • Firstpage
    68
  • Lastpage
    71
  • Abstract
    We present a novel scheme of sentence transformation for Indonesian medical question generation (ImeQG) system by utilizing effectively documents for information navigation. Through the ImeQG proposed method, we conducted a general procedure of dependency analysis for extract verbs and relevant phrases to generate natural sentences by applying transformation rules. For this purpose, we defined some P-A templates based on a statistical measure. An experimental evaluation in this proposed method showed 79.00% for precision, 87.80% for recall and 81.50% for F1.
  • Keywords
    "Filtering","Semantics","Conferences","Information retrieval","Knowledge discovery","Pattern matching","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile (APWiMob), 2015 IEEE Asia Pacific Conference on
  • Type

    conf

  • DOI
    10.1109/APWiMob.2015.7374929
  • Filename
    7374929
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3725030