Author:
K Sheena Kurian,Mathew Sheena
Abstract
The number of scientic or research papers published every year is growing at an exponential rate, which has led to an intensive research in scientic document summarization. The different methods commonly used in automatic text summarization are discussed in this paper with their pros and cons. Commonly used evaluation techniques and datasets in this field are also discussed. Rouge and Pyramid scores of the different methods are tabulated for easy comparison of the results.
Publisher
AGHU University of Science and Technology Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Vision and Pattern Recognition,Modeling and Simulation,Computer Science (miscellaneous)
Cited by
3 articles.
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