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Toward a Framework for Indonesian Medical Question Generator

Toward a Framework for Indonesian Medical Question Generator

Journal from gdlhub / 2016-11-16 03:37:53
By : Wiwin Suwarningsih, Iping Supriana, Ayu Purwarianti, Telkomnika
Created : 2015-03-01, with 1 files

Keyword : generating question, Indonesian medical text, PICO frame
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/648

Question generating is the task of automatically generating questions from various inputs such as raw text, database, or semantic representation. In this paper, we attempt to describe a general framework that could help develop and characterize efforts to medical Indonesian generates questions medical text. We propose a new style of question generation that actively uses sentences within a document as a source of answer. We use manually written rules to perform a sequence of general purpose a syntactic transformation (e.g. identification of keywords or key phrase 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.

Description Alternative :

Question generating is the task of automatically generating questions from various inputs such as raw text, database, or semantic representation. In this paper, we attempt to describe a general framework that could help develop and characterize efforts to medical Indonesian generates questions medical text. We propose a new style of question generation that actively uses sentences within a document as a source of answer. We use manually written rules to perform a sequence of general purpose a syntactic transformation (e.g. identification of keywords or key phrase 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.

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