Trends in Multi-document Summarization System Methods

Abstract

Information is knowledge if it is rightly applied. Information are stored with different formats in databases but retrieving such from different documents has been a challenge. People want ready-made information for the purpose of decision making in minimal time and thereby crave for summary of information. Automatic summarization helps in mining data and delivering timely and cogent information to users. These systems attempt to address the issue of data mining using different summarization methods. This paper discusses existing methods and state of the art in automatic summarisation system from recent articles. Achievement and challenges involve are also discussed.

A Systematic Survey on Multi-document Text Summarization

“…The relationships between the documents are also more complicated. Some of the real-world applications of multi-document summarization [21] includes news summarization, scientific paper summarization [16], product reviews, article generation, etc.…”