| Should we stop training more monolingual models, and simply use machine translation instead? T Isbister, F Carlsson, M Sahlgren arXiv preprint arXiv:2104.10441, 2021 | 24 | 2021 |
| Learning representations for detecting abusive language M Sahlgren, T Isbister, F Olsson Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), 115-123, 2018 | 24 | 2018 |
| Automatic extraction of personality from text: Challenges and opportunities N Akrami, J Fernquist, T Isbister, L Kaati, B Pelzer 2019 IEEE international conference on big data (big data), 3156-3164, 2019 | 18 | 2019 |
| Monitoring targeted hate in online environments T Isbister, M Sahlgren, L Kaati, M Obaidi, N Akrami arXiv preprint arXiv:1803.04757, 2018 | 17 | 2018 |
| Cross-lingual transfer of monolingual models E Gogoulou, A Ekgren, T Isbister, M Sahlgren arXiv preprint arXiv:2109.07348, 2021 | 16 | 2021 |
| Gender classification with data independent features in multiple languages T Isbister, L Kaati, K Cohen 2017 European Intelligence and Security Informatics Conference (EISIC), 54-60, 2017 | 12 | 2017 |
| Anomaly detection on social media using ARIMA models T Isbister | 12 | 2015 |
| GPT-SW3: An Autoregressive Language Model for the Nordic Languages A Ekgren, AC Gyllensten, F Stollenwerk, J Öhman, T Isbister, E Gogoulou, ... arXiv preprint arXiv:2305.12987, 2023 | 9 | 2023 |
| Why not simply translate? a first swedish evaluation benchmark for semantic similarity T Isbister, M Sahlgren arXiv preprint arXiv:2009.03116, 2020 | 9 | 2020 |
| Superlim: A Swedish language understanding evaluation benchmark A Berdičevskis, G Bouma, R Kurtz, F Morger, J Öhman, Y Adesam, L Borin, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 6 | 2023 |
| The Nordic Pile: A 1.2 TB Nordic Dataset for Language Modeling J Öhman, S Verlinden, A Ekgren, AC Gyllensten, T Isbister, E Gogoulou, ... arXiv preprint arXiv:2303.17183, 2023 | 6 | 2023 |
| Digitalt slagfält L Kaati, K Cohen, N Akrami, A Shrestha, J Fernquist, B Pelzer, ... Swedish Defence Research Agency (FOI) 24, 2019 | 6 | 2019 |
| Digitalt Slagfält. En studie av radikalnationalistiska digitala miljöer L Kaati, K Asplund Cohen, N Akrami, A Shrestha, J Fernquist, B Pelzer, ... Totalförsvarets forskningsinstituts rapport FOIR--—SE (oktober), 2020 | 5 | 2020 |
| Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection T Isbister, F Johansson Proceedings of the 13th International Workshop on Semantic Evaluation, 939-943, 2019 | 4 | 2019 |
| FOI Cross-Domain Authorship Attribution for Criminal Investigations. F Johansson, T Isbister CLEF (Working Notes), 2019 | 4 | 2019 |
| Linguistic markers of a radicalized mind-set among extreme adopters K Cohen, T Isbister, L Kaati, A Shrestha WSDM 2017, 1st International Workshop on Cyber Deviance Detection, 823-824, 2017 | 4 | 2017 |
| GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages A Ekgren, AC Gyllensten, F Stollenwerk, J Öhman, T Isbister, E Gogoulou, ... Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 2 | 2024 |
| Computer support to analyze IS propaganda L Kaati, M Sahlgren, T Isbister, B Toghiani-Rizi, K Cohen | | |
| Predicting Linguistic Patterns Using ARIMA Models T Isbister, L Kaati | | |
Magnus SahlgrenAI SwedenVerified email at ai.se
