• An Exploration of Semi-supervised Text Classification 

      Lien, Henrik; Biermann, Daniel; Palumbo, Fabrizio; Goodwin, Morten (Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)
      Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these ...
    • Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian 

      Aaby, Pernille; Biermann, Daniel; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Palumbo, Fabrizio (Chapter; Peer reviewed, 2023)
      Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...