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- Felix Morger
Felix Morger
Postdoctor
Linguistics and Theory of Science unit-
When Sparv met Superlim. . . A Sparv Plugin for Natural Language Understanding Analysis of
Swedish
Felix Morger
2024 -
In the minds of stochastic parrots: Benchmarking, evaluating and interpreting large language
models
Felix Morger
2024 -
SweDiagnostics: A Diagnostics Natural Language Inference Dataset for
Swedish
Felix Morger
17th Workshop on Building and Using Comparable Corpora, BUCC 2024 at LREC-COLING 2024 - Proceedings - 2024 -
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, December 6-10, 2023, Singapore / Houda Bouamor, Juan Pino, Kalika Bali (Editors) - 2023 -
Are There Any Limits to English-Swedish Language Transfer? A Fine-grained Analysis Using Natural Language
Inference
Felix Morger
Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), May 22, 2023, Torshavn, the Faroe Islands / Editors: Nikolai Ilinykh, Felix Morger, Dana Dannélls, Simon Dobnik, Beáta Megyesi, Joakim Nivre - 2023 -
Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), May 22, 2023, Tórshavn, Faroe
Islands
Nikolai Ilinykh, Felix Morger, Dana Dannélls, Simon Dobnik, Beáta Megyesi, Joakim Nivre
2023 -
A Cross-lingual Comparison of Human and Model Relative Word
Importance
Felix Morger, Stephanie Brandl, Lisa Beinborn, Nora Hollenstein
Proceedings of the 2022 CLASP Conference on (Dis)embodiment, Gothenburg and online 15–16 September 2022 / Simon Dobnik, Julian Grove and Asad Sayeed (eds.) - 2022 -
SwedishGLUE – Towards a Swedish Test Set for Evaluating Natural Language Understanding
Models