Erik Velldal

Erik Velldal

Universitetet i Oslo

H-index: 28

Europe-Norway

About Erik Velldal

Erik Velldal, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Universitetet i Oslo, specializes in the field of Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

It's Difficult to be Neutral--Human and LLM-based Sentiment Annotation of Patient Comments

Socio-political events of conflict and unrest: A survey of available datasets

A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation

Measuring normative and descriptive biases in language models using census data

Trained on 100 million words and still in shape: BERT meets British National Corpus

A diagnostic dataset for sentiment and negation modeling for norwegian

Word Substitution with Masked Language Models as Data Augmentation for Sentiment Analysis

NorBench--A Benchmark for Norwegian Language Models

Erik Velldal Information

University

Position

Professor at the Dept. of Informatics Language Technology Group

Citations(all)

2185

Citations(since 2020)

1492

Cited By

1240

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

46

i10Index(since 2020)

35

Email

University Profile Page

Universitetet i Oslo

Google Scholar

View Google Scholar Profile

Erik Velldal Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Erik Velldal

Title

Journal

Author(s)

Publication Date

It's Difficult to be Neutral--Human and LLM-based Sentiment Annotation of Patient Comments

arXiv preprint arXiv:2404.18832

Petter Mæhlum

David Samuel

Rebecka Maria Norman

Elma Jelin

Øyvind Andresen Bjertnæs

...

2024/4/29

Socio-political events of conflict and unrest: A survey of available datasets

Helene Olsen

Étienne Simon

Erik Velldal

Lilja Øvrelid

2024/3

A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation

Egil Rønningstad

Erik Velldal

Lilja Øvrelid

2024

Measuring normative and descriptive biases in language models using census data

arXiv preprint arXiv:2304.05764

Samia Touileb

Lilja Øvrelid

Erik Velldal

2023/4/12

Trained on 100 million words and still in shape: BERT meets British National Corpus

arXiv preprint arXiv:2303.09859

David Samuel

Andrey Kutuzov

Lilja Øvrelid

Erik Velldal

2023/3/17

A diagnostic dataset for sentiment and negation modeling for norwegian

Petter Mæhlum

Erik Velldal

Lilja Øvrelid

2023

Word Substitution with Masked Language Models as Data Augmentation for Sentiment Analysis

Larisa Kolesnichenko

Erik Velldal

Lilja Øvrelid

2023

NorBench--A Benchmark for Norwegian Language Models

arXiv preprint arXiv:2305.03880

David Samuel

Andrey Kutuzov

Samia Touileb

Erik Velldal

Lilja Øvrelid

...

2023/5/6

Entity-level sentiment analysis (ELSA): An exploratory task survey

arXiv preprint arXiv:2304.14241

Egil Rønningstad

Erik Velldal

Lilja Øvrelid

2023/4/27

Occupational biases in Norwegian and multilingual language models

Samia Touileb

Lilja Øvrelid

Erik Velldal

2022/7

SemEval 2022 task 10: Structured sentiment analysis

Jeremy Barnes

Laura Oberlaender

Enrica Troiano

Andrey Kutuzov

Jan Buchmann

...

2022/7

Direct parsing to sentiment graphs

arXiv preprint arXiv:2203.13209

David Samuel

Jeremy Barnes

Robin Kurtz

Stephan Oepen

Lilja Øvrelid

...

2022/3/24

NARC–Norwegian anaphora resolution corpus

International Conference on Computational Linguistics (ICCL)(COLING)

Petter Mæhlum

Dag Trygve Truslew Haug

Tollef Emil Jørgensen

Andre Kåsen

Anders Nøklestad

...

2022

Contextualized language models for semantic change detection: lessons learned

arXiv preprint arXiv:2209.00154

Andrey Kutuzov

Erik Velldal

Lilja Øvrelid

2022/8/31

Multilingual ELMo and the effects of corpus sampling

Vinit Ravishankar

Andrey Kutuzov

Lilja Øvrelid

Erik Velldal

2021

Structured sentiment analysis as dependency graph parsing

arXiv preprint arXiv:2105.14504

Jeremy Barnes

Robin Kurtz

Stephan Oepen

Lilja Øvrelid

Erik Velldal

2021/5/30

Large-scale contextualised language modelling for Norwegian

arXiv preprint arXiv:2104.06546

Andrey Kutuzov

Jeremy Barnes

Erik Velldal

Lilja Øvrelid

Stephan Oepen

2021/4/13

Improving sentiment analysis with multi-task learning of negation

Natural Language Engineering

Jeremy Barnes

Erik Velldal

Lilja Øvrelid

2021/3

If you've got it, flaunt it: Making the most of fine-grained sentiment annotations

arXiv preprint arXiv:2102.00299

Jeremy Barnes

Lilja Øvrelid

Erik Velldal

2021/1/30

Negation in Norwegian: an annotated dataset

Petter Mæhlum

Jeremy Barnes

Robin Kurtz

Lilja Øvrelid

Erik Velldal

2021

See List of Professors in Erik Velldal University(Universitetet i Oslo)

Co-Authors

H-index: 52
John A. Carroll

John A. Carroll

University of Sussex

H-index: 45
Stephan Oepen

Stephan Oepen

Universitetet i Oslo

H-index: 29
Lilja Øvrelid

Lilja Øvrelid

Universitetet i Oslo

H-index: 22
Andrey Kutuzov

Andrey Kutuzov

Universitetet i Oslo

H-index: 15
Dorothee Beermann

Dorothee Beermann

Norges teknisk-naturvitenskaplige universitet

H-index: 11
Vinit Ravishankar

Vinit Ravishankar

Universitetet i Oslo

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