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.|
|Journal||Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII|
|Serie||Lecture Notes in Computer Science|
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.