Papers by Blerta Veseli
Evaluating the Knowledge Base Completion Potential of GPT (2023.findings-emnlp)
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| Challenge: | Language models (LMs) have been proposed for unsupervised knowledge base completion (KBC) however, their ability to do this at scale and with high accuracy remains an open question. |
| Approach: | They propose to use language models to complete a large public KB, Wikidata, with 90% precision. |
| Outcome: | The proposed models can extend Wikidata by 27M facts at 90% precision. |