An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …

ICT platforms for news production, distribution, and consumption must exploit the ever-
growing availability of digital data. These data originate from different sources and in …

Newsrooms and journalists today rely on many different artificial-intelligence, big-data and
knowledge-based systems to support efficient and high-quality journalism. However, making …

Information related to the COVID-19 pandemic ranges from biological to bibliographic, from
geographical to genetic and beyond. The structure of the raw data is highly complex, so …

Event understanding aims at understanding the content and relationship of events within
texts, which covers multiple complicated information extraction tasks: event detection, event …

Journalism is challenged by digitalisation and social media, resulting in lower subscription
numbers and reduced advertising income. Information and communication techniques (ICT) …

When linguistics meets web technologies. Recent advances in modelling linguistic linked data
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Extracting valuable insights from vast amounts of unstructured digital text presents
significant challenges across diverse domains. This research addresses this challenge by …

Journalism relies more and more on information and communication technology (ICT). ICT-
based journalistic knowledge platforms continuously harvest potentially news-relevant …

This paper presents the first model for time normalization trained on the SCATE corpus. In
the SCATE schema, time expressions are annotated as a semantic composition of time …