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

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