Papers by Kevin Ashley
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models (2021.findings-emnlp)
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| Challenge: | Understanding written laws is difficult because the abstract rules must account for a variety of situations, even those not yet encountered. |
| Approach: | They constructed a dataset of 26,959 sentences and labeled them in terms of their usefulness for explaining selected legal concepts. |
| Outcome: | The proposed models outperform the prior approaches and can learn surprisingly sophisticated features. |