Narratives are fundamental to our understanding of the world, providing us with a natural
structure for knowledge representation over time. Computational narrative extraction is a …

Online news tools-for aggregation, summarization and automatic generation-are an area of
fruitful development as reading news online becomes increasingly commonplace. While …

Graph-based summarization entails extracting a worthwhile subset of sentences from a
collection of textual documents by using a graph-based model to represent the correlations …

Interactive visualizations add rich, data-based context to online news articles. Geographic
maps are currently the most prevalent form of these visualizations. Unfortunately, designers …

Rapid advancements in internet and social media technologies have made “information
overload” a rampant and widespread problem. Complex subjects, histories, or issues break …

There is a rising need for automated analysis of news text, and topic models have proven to
be useful tools for this task. However, as the quality of the topics induced by topic models …

Narratives are fundamental to our perception of the world and are pervasive in all activities
that involve the representation of events in time. Yet, modern online information systems do …

Due to the massive volume of articles produced online every day, it is challenging for online
platforms (eg, news agencies) to present the information about an event, activity or …

Narrative sensemaking is an essential part of understanding sequential data. Narrative
maps are a visual representation model that can assist analysts to understand narratives. In …

Text-based knowledge extraction methods for populating knowledge bases have focused on
binary facts: relationships between two entities. However, in advanced domains such as …