141 citations · 226 across the 29 of their papers we have counts for
4 papers · 1 filter
Small Languages, Big Models: A Study of Continual Training on Languages of Norway
David Samuel, Vladislav Mikhailov, Erik Velldal +4
Training large language models requires vast amounts of data, posing a challenge for less widely spoken languages like Norwegian and even more so for truly low-resource languages l…
Entity-Level Sentiment: More than the Sum of Its Parts
Egil Rønningstad, Roman Klinger, Lilja Øvrelid +1
In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studi…
Compositional Generalization with Grounded Language Models
Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier +3
Grounded language models use external sources of information, such as knowledge graphs, to meet some of the general challenges associated with pre-training. By extending previous w…
It's Difficult to be Neutral -- Human and LLM-based Sentiment Annotation of Patient Comments
Petter Mæhlum, David Samuel, Rebecka Maria Norman +4
Sentiment analysis is an important tool for aggregating patient voices, in order to provide targeted improvements in healthcare services. A prerequisite for this is the availabilit…