Political viewpoints identification (PVI) is a task in Natural Language Processing that takes
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …

We present the ongoing NorLM initiative to support the creation and use of very large
contextualised language models for Norwegian (and in principle other Nordic languages) …

We present NorBench: a streamlined suite of NLP tasks and probes for evaluating
Norwegian language models (LMs) on standardized data splits and evaluation metrics. We …

This paper introduces a Scandinavian benchmarking platform, ScandEval, which can
benchmark any pretrained model on four different tasks in the Scandinavian languages. The …

In this paper we explore how a demographic distribution of occupations, along gender
dimensions, is reflected in pre-trained language models. We give a descriptive assessment …

In this paper, we introduce an open database of historical handwritten documents fully
annotated in Norwegian, the first of its kind, allowing the development of handwritten text …

Personalized news recommendation aims to help users find news content they prefer, which
has attracted increasing attention recently. There are two core issues in news …

With the explosive growth of online information, recommendation systems have become
essential tools for alleviating information overload. In recent years, researchers have …

Scandinavian countries are perceived as role-models when it comes to gender equality.
With the advent of pre-trained language models and their widespread usage, we investigate …

NewsRecLib is an open-source library based on Pytorch-Lightning and Hydra developed for
training and evaluating neural news recommendation models. The foremost goals of …