A Temporal Knowledge Graph Generation Dataset Supervised Distantly by Large Language Models
Abstract Knowledge graphs can be constructed by extracting triples from documents, which denotes document-level relation extraction. Each triple illustrates a fact composed of two entities and a relation. However, temporal information corresponding to these facts is ignored. Incorporating temporal i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05062-0 |
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