Papers by Hadar Ohana
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion (2020.findings-emnlp)
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| Challenge: | Existing methods to extract relations from text use fine-tuned machine learning approaches. |
| Approach: | They introduce a framework that performs constrained cloze completion over pretrained language models to perform unsupervised relation extraction. |
| Outcome: | The proposed framework outperforms competing unsupervised relation extraction methods based on pretrained language models by 27.8 F1 points compared to the next-best method. |