Towards a Framework for an Indonesian Medical Question Generator
Abstract: Question generating
is the task of automatically generating questions from various inputs such asraw
text, database, or semantic representation. In this paper, we attempt to
describe a general frameworkthat could help develop and characterise efforts to
Indonesian medical questions generation. We propose a new style of question
generation that actively uses sentences within a document as a source of answers.
We use manually written rules to perform a sequence of general purpose
syntactic transformations (e.g. identification of keywords or key phrases to
NER based on PICO frame) to turn a declarative sentence into questions. The
final result of this research is a pattern of question and answer pairs, where
the test results show the pattern matching algorithm precision value of 0.101
and a recall of 0.712.
Keywords: generating question,
Indonesian medical text, PICO frame
Author: Wiwin Suwarningsih
Journal Code: jptkomputergg150025
