Tim Isbister

According to our database, Tim Isbister authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

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

Cross-lingual Transfer of Monolingual Models.

Evangelia Gogoulou, Ariel Ekgren, Tim Isbister, Magnus Sahlgren

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?

Tim Isbister, Fredrik Carlsson, Magnus Sahlgren

Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

2020

Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity.

Tim Isbister, Magnus Sahlgren

CoRR, 2020

2019

Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection.

Tim Isbister, Fredrik Johansson

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

FOI Cross-Domain Authorship Attribution for Criminal Investigations.

Fredrik Johansson, Tim Isbister

Proceedings of the Working Notes of CLEF 2019, 2019

Automatic Extraction of Personality from Text: Challenges and Opportunities.

Nazar Akrami, Johan Fernquist, Tim Isbister, Lisa Kaati, Björn Pelzer

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Monitoring Targeted Hate in Online Environments.

Tim Isbister, Magnus Sahlgren, Lisa Kaati, Milan Obaidi, Nazar Akrami

CoRR, 2018

Learning Representations for Detecting Abusive Language.

Magnus Sahlgren, Tim Isbister, Fredrik Olsson

Proceedings of the 2nd Workshop on Abusive Language Online, 2018

2017

Gender Classification with Data Independent Features in Multiple Languages.

Tim Isbister, Lisa Kaati, Katie Cohen

Proceedings of the European Intelligence and Security Informatics Conference, 2017