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
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"
Conference_Titel :
Wireless and Mobile (APWiMob), 2015 IEEE Asia Pacific Conference on
DOI :
10.1109/APWiMob.2015.7374929
