Automatic Question Generation system

The process of automating the question generation consists of many tasks. Selecting the target content (what to ask), question type (who, why, how) and actual question generation are the major issue of Automatic Question Generation. Certain definitions retrieved is available in Wikipedia either dire...

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Bibliographic Details
Published in2014 International Conference on Recent Trends in Information Technology pp. 1 - 5
Main Authors Pabitha, P., Mohana, M., Suganthi, S., Sivanandhini, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
Subjects
Automatic Question Generation
Data mining
Information filters
Information services
Information technology
Key phrases
Naïve Bayes
Noun Filtering
Stemming
Summarization
Supervised Machine Learning
Online AccessGet full text
DOI10.1109/ICRTIT.2014.6996216

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Summary:The process of automating the question generation consists of many tasks. Selecting the target content (what to ask), question type (who, why, how) and actual question generation are the major issue of Automatic Question Generation. Certain definitions retrieved is available in Wikipedia either directly or is the outcome of executing set of sub queries for each key phrase categories The problem in the existing system is that some of the definition sentences which are taken out from Wikipedia were implicit. The proposed system overcomes the problems by using Supervised Learning Approach, Naïve Bayes method. It also extends its work to use Summarization, Noun Filtering and Question Generation in the aim of generating semantically correct questions.
DOI:10.1109/ICRTIT.2014.6996216