Papers with Open-world Relation Extraction
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting (2023.emnlp-main)
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| Challenge: | Existing approaches to open-world relation extraction assume that all instances of unlabeled data belong to novel classes. |
| Approach: | They propose a method that classifies relations from known and novel classes within unlabeled data. |
| Outcome: | The proposed method outperforms existing methods on Open-world RE benchmarks. |