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2020 – today
- 2023
[i3]Joey Öhman, Severine Verlinden, Ariel Ekgren, Amaru Cuba Gyllensten, Tim Isbister, Evangelia Gogoulou, Fredrik Carlsson, Magnus Sahlgren:
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling. CoRR abs/2303.17183 (2023)- [i2]Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester:
Extreme Multi-Label Skill Extraction Training using Large Language Models. CoRR abs/2307.10778 (2023) - 2022
- [c4]Fredrik Carlsson, Joey Öhman, Fangyu Liu
, Severine Verlinden, Joakim Nivre, Magnus Sahlgren:
Fine-Grained Controllable Text Generation Using Non-Residual Prompting. ACL (1) 2022: 6837-6857 - [c3]Ariel Ekgren, Amaru Cuba Gyllensten, Evangelia Gogoulou, Alice Heiman, Severine Verlinden, Joey Öhman, Fredrik Carlsson, Magnus Sahlgren:
Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish. LREC 2022: 3509-3518 - 2021
- [c2]Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. ACL/IJCNLP (Findings) 2021: 1952-1957 - [c1]Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre:
Frozen Pretrained Transformers for Neural Sign Language Translation. AT4SSL@MTSummit 2021: 88-97 - [i1]Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. CoRR abs/2107.02286 (2021)
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