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Representing Text for Joint Embedding of Text and Knowledge Bases

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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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