A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence

Authors Jorge Martinez-Gil
Bernhard Freudenthaler
A Min Tjoa
Editors Abdelkader Hameurlain
Roland Wagner
Title A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence
Type article
Journal Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII
Publisher Springer
Series Lecture Notes in Computer Science
ISBN 978-3-662-60530-1
DOI 10.1007/978-3-662-60531-8_4
Month October
Year 2019
Pages 91-110
SCCH ID# 19054
Abstract

As a result of the continuously growing volume of information available, browsing and querying of textual information in search of specific facts is currently a tedious task exacerbated by a reality where data presentation very often does not meet the needs of users. To satisfy these ever-increasing needs, we have designed an solution to provide an adaptive and intelligent solution for the automatic answer of multiple-choice questions based on the concept of mutual information. An empirical evaluation over a number of general-purpose benchmark datasets seems to indicate that this solution is promising.