Papers by Yvonne Adesam
Superlim: A Swedish Language Understanding Evaluation Benchmark (2023.emnlp-main)
Copied to clipboard
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
| Challenge: | In this paper, we present a multi-task benchmark for Swedish language models . we address methodological challenges, such as mitigating the Anglocentric bias when creating datasets for a less-resourced language . |
| Approach: | They propose a multi-task NLP benchmark for Swedish language models . they propose to use superlim to evaluate Swedish language model performance . |
| Outcome: | The proposed benchmark does not approach ceiling performance on any of the tasks, suggesting it is difficult to implement. |
Training a Swedish Constituency Parser on Six Incompatible Treebanks (2020.lrec-1)
Copied to clipboard
| Challenge: | Syntactic parsing is a widely used intermediate step in several natural language processing tasks. |
| Approach: | They propose to use a function-tagged constituent treebank for Swedish which includes discontinuous constituents to improve the accuracy. |
| Outcome: | The proposed parser can be trained on additional treebanks that use other annotation models. |