As the amount of generated information grows, reading and summarizing texts of large
collections turns into a challenging task. Many documents do not come with descriptive …

In this paper, we address a novel task, Multiple TimeLine Summarization (MTLS), which
extends the flexibility and versatility of Time-Line Summarization (TLS). Given any collection …

Storytelling, and the delivery of societal narratives, enable human beings to communicate,
connect, and understand one another and the world around them. Narratives can be defined …

The rise of social media and the explosion of digital news in the web sphere have created
new challenges to extract knowledge and make sense of published information. Automated …

Despite significant advances in web archive infrastructures, the problem of exploring the
historical heritage preserved by web archives is yet to be solved. Timeline generation …

Archive collections are nowadays mostly available through search engines interfaces, which
allow a user to retrieve documents by issuing queries. The study of these collections may be …

Abstract The Text2Story Workshop series, dedicated to Narrative Extraction from Texts, has
been running successfully since 2018. Over the past six years, significant progress, largely …

Timeline summarization (TLS) is defined as a task for summarizing events in chronological
order, which gives readers a comprehensive understanding of an evolutionary story …

The ever-increasing importance of the Web in our daily lives and the ubiquitous presence of
social networks along with the digitization of traditional news media channels have led to the …

Our society generates massive amounts of digital data, significant portion of which is being
archived and made accessible to the public for the current and future use. In addition …