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

Abstract As of July 17, 2020, more than thirteen million people have been diagnosed with
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …

Social media is becoming an increasingly important data source for learning about breaking
news and for following the latest developments of ongoing news. This is in part possible …

Microblogging, where millions of users exchange messages to share their opinions on
different trending and non-trending topics, is one of the popular communication media in …

Microblogging sites like Twitter have become important sources of real-time information
during disaster events. A large amount of valuable situational information is posted in these …

Automatic text summarization is a fundamental natural language processing (NLP)
application that aims to condense a source text into a shorter version. The rapid increase in …

Microblogging platforms such as Twitter are widely used by eyewitnesses and affected
people to post situational updates during mass convergence events such as natural and …

Social media, in recent years, have become an invaluable source of information for both
public and private organizations to enhance the comprehension of people interests and the …

During mass convergence events such as natural disasters, microblogging platforms like
Twitter are widely used by affected people to post situational awareness messages. These …

Previous work on automatic news timeline summarization (TLS) leaves an unclear picture
about how this task can generally be approached and how well it is currently solved. This is …