Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

Abstract Background and Objective Capturing the context of text is a challenging task in
biomedical text summarization. The objective of this research is to show how contextualized …

Text Summarization is the process of creating a condensed form of text document which
maintains significant information and general meaning of source text. Automatic text …

In this paper, we propose a novel extraction based method for multi-document
summarization that covers three important features of a good summary: coverage, non …

Today there is a huge amount of information from a lot of various resources such as World
Wide Web, news articles, e-books and emails. On the one hand, human beings face a …

Most of existing text automatic summarization algorithms are targeted for multi-documents of
relatively short length, thus difficult to be applied immediately to novel documents of …

Objective Automatic text summarization offers an efficient solution to access the ever-
growing amounts of both scientific and clinical literature in the biomedical domain by …

Itemset mining is a well-known exploratory data mining technique used to discover
interesting correlations hidden in a data collection. Since it supports different targeted …

Summaries are important when it comes to process huge amounts of information. Their most
important benefit is saving time, which we do not have much nowadays. Therefore, a …