• Large Language Models are Not Models of Natural Language: They are Corpus Models 

      Veres, Csaba (Journal article; Peer reviewed, 2022)
      Natural Language Processing (NLP) has become one of the leading application areas in the current Artificial Intelligence boom. Transfer learning has enabled large deep learning neural networks trained on the language ...
    • Named Entity Extraction for Knowledge Graphs: A Literature Overview 

      Al-Moslmi, Tareq Abdo Abdullah; Gallofré Ocaña, Marc; Opdahl, Andreas Lothe; Veres, Csaba (Journal article; Peer reviewed, 2020)
      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 representing information in ...
    • Semantic Knowledge Graphs for the News: A Review 

      Opdahl, Andreas Lothe; Al-Moslmi, Tareq; Dang Nguyen, Duc Tien; Gallofré Ocaña, Marc; Tessem, Bjørnar; Veres, Csaba (Journal article; Peer reviewed, 2022)
      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 different formats; they arrive at different ...
    • Towards a Big Data Platform for News Angles 

      Gallofré Ocaña, Marc; Nyre, Lars; Opdahl, Andreas Lothe; Tessem, Bjørnar; Trattner, Christoph; Veres, Csaba (Peer reviewed; Journal article, 2019)
      Finding good angles on news events is a central journalistic and editorial skill. As news work becomes increasingly computer-assisted and big-data based, journalistic tools therefore need to become better able to support ...