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 |
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. |