Rate My Professor Erik Velldal

Velldal's key publications encompass a wide range of NLP advancements, particularly for Norwegian and low-resource languages. Notable works include 'Diachronic word embeddings and semantic shifts: a survey' (2018), 'NoReC: The Norwegian Review Corpus' (2017), 'The Talk of Norway: a richly annotated corpus of the Norwegian parliament, 1998–2016' (2018), 'Structured Sentiment Analysis as Dependency Graph Parsing' (2021), 'NorBench -- A Benchmark for Norwegian Language Models' (2023), 'Small Languages, Big Models: A Study of Continual Training on Languages of Norway' (2024), 'NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark' (2025), and 'Overview of ELOQUENT 2025: Shared Tasks for Evaluating Generative Language Model Quality' (2025). He co-authored resources like NorNE for named entity annotation and NARC for anaphora resolution in Norwegian. Velldal teaches courses such as IN5550 – Neural Methods in Natural Language Processing and supervises master and PhD students. His contributions have provided essential corpora, benchmarks, and models enhancing NLP for Norwegian, supporting research in semantic shifts, sentiment, and generative AI.