Papers by Nikolaus Schrack
Can AMR Assist Legal and Logical Reasoning? (2022.findings-emnlp)
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| Challenge: | Abstract Meaning Representation (AMR) has been shown to be useful for many downstream tasks. |
| Approach: | They propose neural architectures that utilize linearised AMR graphs in combination with pre-trained language models to capture logical relationships on multiple choice question answering tasks. |
| Outcome: | The proposed models outperform text-only baselines but outperformed text models, suggesting complementary abilities. |