作者: N. Moratanch , S. Chitrakala
DOI: 10.1109/ICCPCT.2016.7530193
关键词:
摘要: Text Summarization is the task of extracting salient information from original text document. In this process, extracted generated as a condensed report and presented concise summary to user. It very difficult for humans understand interpret content text. paper, an exhaustive survey on abstractive summarization methods has been presented. The two broad are structured based approach semantic approach. This paper collectively summarizes deciphers various methodologies, challenges issues summarization. State art benchmark datasets their properties being explored. portrays that most produces highly cohesive, coherent, less redundant rich.