Multi-document summarization (MDS) is an effective tool for information aggregation that
generates an informative and concise summary from a cluster of topic-related documents …

ABSTRACT Natural Language Processing (NLP) is now widely integrated into web and
mobile applications, enabling natural interactions between humans and computers …

The increasing volume of textual information on any topic requires its compression to allow
humans to digest it. This implies detecting the most important information and condensing it …

Although citizens agree on the importance of objective scientific information, yet they tend to
avoid scientific literature due to access restrictions, its complex language or their lack of prior …

The Web and social media have become the main source of information for citizens, with the
risk that users rely on shallow information in sources prioritizing commercial or political …

Abstract Information retrieval has moved from traditional document retrieval in which search
is an isolated activity, to modern information access where search and the use of the …

A key issue for Twitter users relates to the summarization of the continuous and
overwhelming stream of information. Many approaches for tweet summarization were …

Modern information access systems hold the promise to give users direct access to key
information from authoritative primary sources such as scientific literature, but non-experts …

An abstract is not only a mirror of the full article; it also aims to draw attention to the most
important information of the document it summarizes. Many studies have compared …

Query expansion (QE) is an important process in information retrieval applications that
improves the user query and helps in retrieving relevant results. In this paper, we introduce a …