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

J. Martinez-Gil, B. Freudenthaler, A. Tjoa. A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence. Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII, pages 91-110, DOI 10.1007/978-3-662-60531-8_4, 10, 2019.

Autoren
  • Jorge Martinez-Gil
  • Bernhard Freudenthaler
  • A Min Tjoa
Editoren
  • Abdelkader Hameurlain
  • Roland Wagner
TypArtikel
JournalTransactions on Large-Scale Data- and Knowledge-Centered Systems XLII
VerlagSpringer
SerieLecture Notes in Computer Science
DOI10.1007/978-3-662-60531-8_4
ISBN978-3-662-60530-1
Monat10
Jahr2019
Seiten91-110
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.