conference-paper
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Representing Text for Joint Embedding of Text and Knowledge Bases
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- Citations
- 796
- References
- 32
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Paper overview
Abstract
Models that learn to represent textual and knowledge base relations in the same continuous latent space are able to perform joint inferences among the two kinds of relations and obtain high accuracy on knowledge base completion
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Publication details
- DOI
- 10.18653/v1/d15-1174
- OpenAlex
- W2250635077
- Document type
- conference-paper
- Language
- EN
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