141 citations · 226 across the 29 of their papers we have counts for
5 papers · 1 filter
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks
Sondre Wold, Lilja Øvrelid, Erik Velldal
In contrast to large text corpora, knowledge graphs (KG) provide dense and structured representations of factual information. This makes them attractive for systems that supplement…
NorBench -- A Benchmark for Norwegian Language Models
David Samuel, Andrey Kutuzov, Samia Touileb +5
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 also introduc…
Entity-Level Sentiment Analysis (ELSA): An exploratory task survey
Egil Rønningstad, Erik Velldal, Lilja Øvrelid
This paper explores the task of identifying the overall sentiment expressed towards volitional entities (persons and organizations) in a document -- what we refer to as Entity-Leve…
Measuring Normative and Descriptive Biases in Language Models Using Census Data
Samia Touileb, Lilja Øvrelid, Erik Velldal
We investigate in this paper how distributions of occupations with respect to gender is reflected in pre-trained language models. Such distributions are not always aligned to norma…
Trained on 100 million words and still in shape: BERT meets British National Corpus
David Samuel, Andrey Kutuzov, Lilja Øvrelid +1
While modern masked language models (LMs) are trained on ever larger corpora, we here explore the effects of down-scaling training to a modestly-sized but representative, well-bala…