Abstract:
Text summarization is the process of extracting salient information from the source text and to present that information to the user in the form of summary. It is very difficult for human beings to manually summarize large documents of text. Automatic abstractive summarization provides the required solution but it is a challenging task because it requires deeper analysis of text. In this paper, a survey on abstractive text summarization methods has been presented. Abstractive summarization methods are classified into two categories i.e. structured based approach and semantic based approach. The main idea behind these methods has been discussed. Besides the main idea, the strengths and weaknesses of each method have also been highlighted. Some open research issues in abstractive summarization have been identified and will address for future research. Finally, it is concluded from the literature studies that most of the abstractive summarization methods produces highly coherent, cohesive, information rich and less redundant summary.
Page(s):
64-72
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 59, Issue: 1, Year: 2014