Papers by Lucy Yang Buhr
Transformer-based Swedish Semantic Role Labeling through Transfer Learning (2024.lrec-main)
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| Challenge: | Semantic Role Labeling (SRL) is a task in natural language understanding where the goal is to extract semantic roles for a given sentence. |
| Approach: | They propose to build a Transformer-based SRL system for Swedish by exploring multilingual and cross-lingual transfer learning methods and leveraging the Swedish FrameNet resource. |
| Outcome: | The proposed model outperforms two different cross-lingual transfer models and shows that the multilingual learning outperformed the other models. |