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About A Deep Learning Approach To Contract
The document discusses using deep learning methods like bidirectional LSTMs and conditional random fields for contract element extraction. It compares these approaches to previous work using linear classifiers and hand-crafted rules, finding the deep learning methods outperform previous approaches without rules. Stacking additional LSTMs or adding a CRF layer can further improve performance.
Detailed Information
| Author: | ['Lisa Prowse'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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