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 …

With the rapid growth of social media platforms, digitization of official records, and digital
publication of articles, books, magazines, and newspapers, lots of data are generated every …

Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that
arise in quantum physics and random matrix theory. In contrast to traditional structured …

This survey aims at providing multimedia researchers with a state-of-the-art overview of
fusion strategies, which are used for combining multiple modalities in order to accomplish …

Timeline summarization (TLS) is essential for distilling coherent narratives from a vast
collection of texts, tracing the progression of events and topics over time. Prior research …

Classic news summarization plays an important role with the exponential document growth
on the Web. Many approaches are proposed to generate summaries but seldom …

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

With the vast amount of digitized textual materials now available on the Internet, it is almost
impossible for people to absorb all pertinent information in a timely manner. To alleviate the …

Documents with timestamps, such as email and news, can be placed along a timeline. The
timeline for a set of documents returned in response to a query gives an indication of how …

Microblog streams often contain a considerable amount of information about local, regional,
national, and global events. Most existing microblog search capabilities are focused on …