Indonesian medical sentence transformation for question generation
Wiwin Suwarningsih, Iping Supriana, Ayu Purwarianti · 2015
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.