An Exploration of Semi-supervised Text Classification. - Henrik Lien; Daniel Biermann; Fabrizio Palumbo; Morten Goodwin (EANN, 2022)

Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. - Daniel Biermann; Morten Goodwin; Ole-Christoffer Granmo (NAIS, 2022)

Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. - Daniel Biermann; Morten Goodwin; Ole-Christoffer Granmo (AIAI (2), 2023)

Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian. - Pernille Aaby; Daniel Biermann; Anis Yazidi; Gustavo Borges Moreno e Mello; Fabrizio Palumbo (SGAI Conf., 2023)

Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. - Daniel Biermann; Fabrizio Palumbo; Morten Goodwin; Ole-Christoffer Granmo (CoRR, 2023)

Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. - Daniel Biermann; Fabrizio Palumbo; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf. (1), 2024)