Joey Öhman

According to our database, Joey Öhman authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages.

Ariel Ekgren, Amaru Cuba Gyllensten, Felix Stollenwerk, Joey Öhman, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Judit Casademont, Magnus Sahlgren

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Text Annotation Handbook: A Practical Guide for Machine Learning Projects.

Felix Stollenwerk, Joey Öhman, Danila Petrelli, Emma Wallerö, Fredrik Olsson, Camilla Bengtsson, Andreas Horndahl, Gabriela Zarzar Gandler

CoRR, 2023

Annotated Job Ads with Named Entity Recognition.

Felix Stollenwerk, Niklas Fastlund, Anna Nyqvist, Joey Öhman

CoRR, 2023

GPT-SW3: An Autoregressive Language Model for the Nordic Languages.

Ariel Ekgren, Amaru Cuba Gyllensten, Felix Stollenwerk, Joey Öhman, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Alice Heiman, Judit Casademont, Magnus Sahlgren

CoRR, 2023

The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling.

Joey Öhman, Severine Verlinden, Ariel Ekgren, Amaru Cuba Gyllensten, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Magnus Sahlgren

CoRR, 2023

Superlim: A Swedish Language Understanding Evaluation Benchmark.

Aleksandrs Berdicevskis, Gerlof Bouma, Robin Kurtz, Felix Morger, Joey Öhman, Yvonne Adesam, Lars Borin, Dana Dannélls, Markus Forsberg, Tim Isbister, Anna Lindahl, Martin Malmsten, Faton Rekathati, Magnus Sahlgren, Elena Volodina, Love Börjeson, Simon Hengchen, Nina Tahmasebi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish.

Ariel Ekgren, Amaru Cuba Gyllensten, Evangelia Gogoulou, Alice Heiman, Severine Verlinden, Joey Öhman, Fredrik Carlsson, Magnus Sahlgren

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference.

Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman

Proceedings of the Programming Languages and Systems, 2022

Fine-Grained Controllable Text Generation Using Non-Residual Prompting.

Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference.

Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman

CoRR, 2021